CN113496021A - Privacy protection method and device, wearable device and computer-readable storage medium - Google Patents

Abstract

The present application relates to a privacy protection method and device, a wearable device, and a computer-readable storage medium. The wearable device obtains the biometrics of the current user, and compares the current user's biometrics with the biometrics pre-stored in the wearable device. Get the comparison result. When it is determined according to the comparison result that the current user is not a legitimate user, the control wearable device does not support access to private information. Because the wearable device itself has the function of detecting the biometric features of the user, it is determined whether the current user is a legitimate user by means of feature comparison. Therefore, in the case that it is determined that the current user is not a legitimate user, the wearable device is controlled not to support access to private information. Ultimately, the current user cannot access the private information of the wearable device, thereby realizing the protection of personal information and improving the security of personal information.

Description

Privacy protection method and device, wearable device, computer-readable storage medium

technical field

The present application relates to the field of computer technology, and in particular, to a privacy protection method and device, a wearable device, and a computer-readable storage medium.

Background technique

With the continuous development of computer technology, a variety of wearable devices are becoming more and more popular. Among them, a wearable device refers to a portable device that can be directly worn on the body or integrated into the user's clothes or accessories.

Wearable devices can achieve powerful functions through software support, data interaction, and cloud interaction. People can obtain information from wearable devices anytime, anywhere. These convenient and powerful functions on wearable devices will bring people's life and perception. big shift. However, if the wearable device is used by someone other than the owner user, there is a risk of leakage of the owner user's personal information, which affects the security of the personal information.

Therefore, there is an urgent need to solve the problem of the risk of personal information leakage in traditional wearable devices.

SUMMARY OF THE INVENTION

The embodiments of the present application provide a privacy protection method and device, a wearable device, and a computer-readable storage medium, which can improve the security of personal information.

A privacy protection method, the method includes:

Obtain the biometrics of the current user through the wearable device;

Comparing the biometric feature of the current user with the biometric feature pre-stored in the wearable device to obtain a comparison result;

When it is determined according to the comparison result that the current user is not a legitimate user, the wearable device is controlled to not support access to private information.

A privacy protection device, the device includes:

A biometric acquisition module, used to acquire the current user's biometrics through a wearable device;

a feature comparison module, configured to compare the biometric features of the current user with the biometric features pre-stored in the wearable device to obtain a comparison result;

A control module, configured to control the wearable device not to support access to private information when it is determined according to the comparison result that the current user is not a legitimate user.

A wearable device includes a memory and a processor, wherein a computer program is stored in the memory, and when the computer program is executed by the processor, the processor executes the steps of the above privacy protection method.

A computer-readable storage medium on which a computer program is stored, and when the computer program is executed by a processor, implements the steps of the above-mentioned privacy protection method.

The above privacy protection method and device, wearable device, and computer-readable storage medium, obtain the biometrics of the current user through the wearable device, and compare the biometrics of the current user with the biometrics pre-stored in the wearable device to obtain a comparison result . When it is determined according to the comparison result that the current user is not a legitimate user, the control wearable device does not support access to private information. Because the wearable device itself has the function of detecting the biometric features of the user, whether the current user is a legitimate user is determined by means of feature comparison. Therefore, in the case that it is determined that the current user is not a legitimate user, the wearable device is controlled not to support access to private information. Ultimately, the current user cannot access the private information of the wearable device, thereby realizing the protection of personal information and improving the security of personal information.

Description of drawings

In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the following briefly introduces the accompanying drawings required for the description of the embodiments or the prior art. Obviously, the drawings in the following description are only These are some embodiments of the present application. For those of ordinary skill in the art, other drawings can also be obtained based on these drawings without any creative effort.

Fig. 1 is the application environment diagram of the privacy protection method in one embodiment;

2 is a flowchart of a privacy protection method in one embodiment;

3 is a schematic diagram of two modes on a wearable device in one embodiment;

4 is a flowchart of a privacy protection method in another embodiment;

5 is a flowchart of a privacy protection method in yet another embodiment;

6 is a flowchart of a privacy protection method in a specific embodiment;

7 is a structural block diagram of a privacy protection device in one embodiment;

FIG. 8 is a schematic diagram of the internal structure of a wearable device in one embodiment.

Detailed ways

In order to make the purpose, technical solutions and advantages of the present application more clearly understood, the present application will be described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application, but not to limit the present application.

It will be understood that the terms "first", "second", etc. used in this application may be used herein to describe various elements, but these elements are not limited by these terms. These terms are only used to distinguish a first element from another element. For example, a first mode could be referred to as a second mode, and, similarly, a second mode could be referred to as a first mode, without departing from the scope of this application. Both the first mode and the second mode are modes, but they are not the same mode.

FIG. 1 is an application scenario diagram of a privacy protection method in one embodiment. As shown in FIG. 1 , the application environment includes a wearable device 120 and an electronic device 140 . The wearable device 120 can obtain the biometrics of the current user through the wearable device for privacy protection, and compare the biometrics of the current user with the biometrics pre-stored in the wearable device to obtain a comparison result, when the current user is determined according to the comparison result. When it is not a legitimate user, the control wearable device does not support access to private information. It can be understood that the above-mentioned wearable device 120 is not limited to various wrist-supported watches (including products such as watches and wristbands), and foot-supported shoes (including shoes, socks, etc.). Or other products worn on the legs in the future), Glass (glasses) supported by the head (including glasses, helmets, headbands, etc.), as well as various non-mainstream product forms such as smart clothing, school bags, crutches, accessories, etc. The above-mentioned electronic device 140 may not be limited to various mobile phones, tablet computers, and the like.

FIG. 2 is a flowchart of a privacy protection method in one embodiment. The privacy protection method in this embodiment is described by taking running on the wearable device in FIG. 1 as an example. As shown in FIG. 2 , the privacy protection method includes steps 220 to 260 . in,

Step 220: Obtain the biometric features of the current user through the wearable device.

When the wearable device is worn on the user's body, the biometric characteristics of the current user can be obtained through the sensors on the wearable device. Among them, the biometrics refers to the unique, measurable and identifiable features possessed by the user. The current user refers to the user who currently wears the wearable device.

Step 240 , compare the biometrics of the current user with the biometrics pre-stored in the wearable device to obtain a comparison result.

Among them, the wearable device will generally enter the biometric characteristics of the owner user at the beginning of use, and of course, the biometric characteristics of the owner user can also be entered at any time, which is not limited in this application. The entered biometric features of the owner user are the biometric features pre-stored in the wearable device, and the owner user can update the biometric features pre-stored in the wearable device. Then, in the process of using the wearable device, because the owner user forgets to set the lock screen password or the lock screen password is leaked, the non-owner user has the opportunity to obtain the owner user's private information, thus causing personal injury. Information disclosure. Therefore, in order to solve this problem, an embodiment of the present application proposes a privacy protection method, which compares the biometric features of the current user obtained through the wearable device with the biometric features pre-stored in the wearable device to obtain a comparison result, thereby obtaining a comparison result. According to the comparison result, it can be determined whether the current user is a legitimate user, so that measures can be taken to protect the user's private information.

Step 260, when it is determined according to the comparison result that the current user is not a legitimate user, the wearable device is controlled to not support access to private information.

When it can be determined whether the current user is a legal user according to the comparison result, and if it is determined that the current user is not a legal user, the control wearable device does not support access to private information. Wearable devices can provide basic functions, such as time display, step counting, weather information, etc. These basic functions generally do not involve private information. Of course, wearable devices can also provide advanced functions compared to basic functions, such as calls, instant messaging, transactions, reminders, etc. These advanced functions generally involve private information. Therefore, when it is determined according to the comparison result that the current user is not a legitimate user, the control wearable device does not support these advanced functions. Therefore, when it is determined that the current user is not a legitimate user, the current user cannot access private information through the wearable device.

In the embodiment of the present application, the biometric feature of the current user is obtained through the wearable device, and the biometric feature of the current user is compared with the biometric feature pre-stored in the wearable device to obtain a comparison result. When it is determined according to the comparison result that the current user is not a legitimate user, the control wearable device does not support access to private information. Because the wearable device itself has the function of detecting the biometric features of the user, it is more accurate to judge whether the current user is a legitimate user by means of feature comparison without costing additional software and hardware. Therefore, in the case that it is determined that the current user is not a legitimate user, the wearable device is controlled not to support access to private information. Ultimately, the current user cannot access the private information of the wearable device, thereby realizing the protection of personal information and improving the security of personal information.

In one embodiment, the wearable device can be switched between a first mode and a second mode, in which access to private information is supported in the first mode, and access to private information is not supported in the second mode;

When it is judged that the current user is not a legitimate user according to the comparison result, the control wearable device does not support access to private information, including:

When it is determined according to the comparison result that the current user is not a legitimate user, the wearable device is controlled to switch from the first mode to the second mode.

As shown in FIG. 3 , there are two modes on the wearable device, and the wearable device can switch between the first mode and the second mode. The first mode on the wearable device may be referred to as a normal mode, in which the first system is run on the wearable device. The second mode on the wearable device may be referred to as a power saving mode, in which the second system runs on the wearable device. Among them, the first system can support advanced functions, and the second system cannot support advanced functions, and can only ensure the realization of basic functions. The basic functions here, such as time display, step counting, weather information, etc., generally do not involve private information. Correspondingly, the advanced functions here, such as calls, instant messaging, transactions, reminders, etc., generally involve private information.

Wherein, the first system generally runs on a main processor, such as a central processing unit (Central ProcessUnit; CPU), and the second system runs on a coprocessor, such as a microcontroller unit (Microcontroller Unit, MCU). The MCU is obtained by appropriately reducing the frequency, specifications, and memory of the CPU. Therefore, the performance of the MCU is worse than that of the CPU, and the power consumption is obviously lower than that of the CPU.

Here, the first system may specifically refer to an Android system, an ios system, a symbian system, a Windows Phone system, or other systems that can run on a wearable device to support advanced functions, and the application does not specifically limit the first system. The second system cannot support advanced functions, and can only ensure the realization of basic functions. For wearable devices, the second system may be an RTOS system. Of course, this application does not specifically limit the second system.

Because the wearable device can be switched between the first mode and the second mode, when it is determined according to the comparison result that the current user is not a legitimate user, the wearable device is controlled to switch from the first mode to the second mode. That is, the wearable device is controlled to switch from the normal mode to the power saving mode.

In the embodiment of the present application, when it is determined according to the comparison result that the current user is not a legitimate user, the wearable device is controlled to switch from the normal mode to the power saving mode. The first system is run on the wearable device in the normal mode, and the second system is run on the wearable device in the power saving mode. Because the first system can support advanced functions, but the second system cannot support advanced functions, and can only ensure the realization of basic functions, which generally do not involve private information. Therefore, when the wearable device is switched to the power-saving mode, the power-saving mode will not involve private information at all, so that the leakage of private information will not be caused.

In one embodiment, as shown in Figure 4, a privacy protection method is provided, further comprising:

Step 280, when it is determined according to the comparison result that the current user is a legitimate user, the wearable device is controlled to support access to private information.

Specifically, the biometric feature of the current user is obtained through the wearable device, and the biometric feature of the current user is compared with the biometric feature pre-stored in the wearable device to obtain a comparison result. When it is determined according to the comparison result that the current user is not a legitimate user, the control wearable device does not support access to private information. When it is determined that the current user is a legitimate user according to the comparison result, the wearable device is controlled to support access to private information.

In the embodiment of the present application, because the wearable device itself has the function of detecting the biometric features of the user, the method of feature comparison to determine whether the current user is a legitimate user will not cost additional software and hardware costs, and the accuracy higher. Therefore, when it is determined that the current user is not a legal user, the wearable device is controlled to not support access to private information, and when it is determined that the current user is a legal user, the wearable device is controlled to support access to private information. Finally, the current user who is not a legal user cannot access the private information of the wearable device, thereby realizing the protection of personal information and improving the security of personal information. At the same time, current users who are legitimate users can obtain private information in a timely manner under the premise of ensuring security, without affecting the legitimate use of legitimate users.

In one embodiment, the biometrics include feature vectors corresponding to the biometrics; obtaining the biometrics of the current user through the wearable device includes:

Collect the biometric signal of the current user through the wearable device;

According to the biometric signal of the current user, a feature vector corresponding to the biometric feature is calculated.

Specifically, when the wearable device collects the biometrics of the current user, what is actually collected is the signal corresponding to the biometrics. For example, when the biological feature is an electrocardiographic feature, the actually collected electrocardiographic signal; when the biological feature is a heart rate feature, the actually collected heart rate signal is not limited to the above two signals in this application. In this application, only one biological feature may be collected, and of course, multiple biological features may also be collected.

After the signal of the biometric feature of the current user is collected, a feature vector corresponding to the biometric feature is calculated according to the signal of the biometric feature of the current user. The feature vector corresponding to the biological feature specifically includes time-domain feature data and frequency-domain feature data corresponding to the calculated signal of the biological feature, which is not limited in this application.

In the embodiment of the present application, the wearable device collects the signal of the biometric feature of the current user, and calculates the feature vector corresponding to the biometric feature according to the signal of the current user's biometric feature. The biometric signal is converted into a feature vector, and the biometric feature of the current user can be further accurately calculated through the feature vector represented in the form of data. Therefore, the accuracy of determining whether the current user is a legitimate user is improved.

Continuing from the previous embodiment, comparing the biometrics of the current user with the biometrics pre-stored in the wearable device to obtain a comparison result, including:

A comparison result is obtained by comparing the feature vector corresponding to the biometric feature of the current user with the feature vector corresponding to the biometric feature pre-stored in the wearable device.

As shown in Figure 5, a privacy information protection method is provided, including:

Step 520, collecting the biometric signal of the current user through the wearable device;

Step 540: Calculate the feature vector corresponding to the biometric feature according to the signal of the current user's biometric feature.

Step 560: Compare the similarity between the feature vector corresponding to the biometric feature of the current user and the feature vector corresponding to the biometric feature pre-stored in the wearable device to obtain a comparison result.

Step 580, when it is determined according to the comparison result that the current user is not a legitimate user, the wearable device is controlled to not support access to private information.

Specifically, the biological feature includes a feature vector corresponding to the biological feature, the wearable device collects the signal of the current user's biological feature, and calculates the feature vector corresponding to the biological feature according to the signal of the current user's biological feature. A comparison result is obtained by comparing the feature vector corresponding to the biometric feature of the current user with the feature vector corresponding to the biometric feature pre-stored in the wearable device. Whether the current user is a legal user is determined based on the comparison result, and when it is determined that the current user is not a legal user according to the comparison result, the wearable device is controlled to not support access to private information. When it is determined that the current user is a legitimate user according to the comparison result, the wearable device is controlled to support access to private information.

The feature vector corresponding to the collected biometrics specifically includes the corresponding time-domain feature data and frequency-domain feature data corresponding to the calculated biometric signal, and the feature vector corresponding to the biometrics pre-stored in the wearable device is that of the owner user. The time-domain feature data and the frequency-domain feature data corresponding to the signals of the same biological feature. Then, a comparison result, such as a similarity value, can be obtained by comparing the similarity between the time-domain feature data and the frequency-domain feature data. Thus, based on the comparison result, it can be determined whether the current user is a legitimate user. Of course, when comparing the similarity, the similarity value can be obtained by comparing only the feature vector corresponding to one biological feature, or the average similarity value can be obtained by comparing the feature vectors corresponding to multiple biological features respectively.

A similarity threshold is preset on the wearable device, and the calculated similarity value is compared with the similarity threshold. When the calculated similarity value exceeds the similarity threshold, it is determined that the current user is a legitimate user. Wearables take control. When the calculated similarity value does not exceed the similarity threshold, it is determined that the current user is not a legitimate user, and the wearable device is controlled to not support access to private information.

In the embodiment of the present application, what is collected by the wearable device is the feature vector corresponding to the biometric feature of the current user, and correspondingly, the feature vector corresponding to the same biometric feature of the host user is pre-stored in the wearable device. Therefore, the feature vector corresponding to the biometric feature of the current user is compared with the feature vector corresponding to the biometric feature pre-stored in the wearable device to obtain a comparison result. Because the eigenvectors in the form of data are compared with the eigenvectors, the accuracy of the comparison process can be improved. Therefore, the accuracy of determining whether the current user is a legitimate user is improved, and the security of the user's personal information is finally improved.

In one embodiment, obtaining the biometrics of the current user through the wearable device includes:

When the wearable device receives the privacy message, the wearable device obtains the biometric characteristics of the current user.

Specifically, in general, the wearable device needs to be unlocked to be able to use the advanced functions of the wearable device, such as calls, instant messaging, transactions, reminders, etc. These advanced functions generally involve private information. The unlocked authentication information (such as unlocking password, unlocking fingerprint, unlocking face, etc.) is generally not easy to be stolen by others, so when the wearable device is used by a user who is not a legitimate user, the user actively obtains the privacy of the owner user Information is less likely.

However, when the wearable device receives the sent privacy message, privacy information leakage occurs. For example, when a wearable device receives an incoming call, new message, new notification, etc., when an incoming call is received, it will be displayed directly on the display screen, which will lead to the leakage of private information. In the case of receiving a new message, a new notification, etc., a prompt will generally be displayed on the display screen, so that privacy information leakage will occur. And if the owner user can set the content of new messages, new notifications, etc. to be displayed directly on the display screen, more private information will be leaked.

Therefore, a privacy protection method is provided. When the wearable device receives the privacy message, the wearable device obtains the biometric characteristics of the current user. The comparison result is obtained by comparing the biometrics of the current user with the biometrics pre-stored in the wearable device. When it is determined according to the comparison result that the current user is not a legitimate user, the control wearable device does not support access to private information. However, when the wearable device does not receive the privacy message, there is no need to obtain the biometric characteristics of the current user through the wearable device, and to make subsequent judgments of legitimate users. For example, for some biometric features such as iris, fingerprint, and user face that can be obtained instantly, when the wearable device receives a private message, the wearable device can obtain the current user's biometric feature.

Of course, a privacy protection method is also provided, which obtains the biometrics of the current user through the wearable device, and then compares the biometrics of the current user with the biometrics pre-stored in the wearable device when the wearable device receives the privacy message. Compare the results. When it is determined according to the comparison result that the current user is not a legitimate user, the control wearable device does not support access to private information. For example, some biological features such as ECG features, heart rate features, blood oxygen saturation, behavioral features (gait features), etc. can only be obtained by statistical analysis of the data over a period of time. Therefore, when the user wears a wearable After the device is installed, the biometrics of the current user will be counted, so that when the wearable device receives the privacy message, the biometrics of the current user will be compared with the biometrics pre-stored in the wearable device to obtain a comparison result. When it is determined according to the comparison result that the current user is not a legitimate user, the control wearable device does not support access to private information.

In the embodiment of this application, it is proposed to compare the biometrics when the wearable device receives private information. When it is determined that the current user is not a legitimate user according to the comparison result, the wearable device is controlled not to support Access to Private Information. Therefore, when the wearable device does not receive the private information, the wearable device can not be controlled, so as to avoid the situation that the wearable device cannot be used normally when it is lent to others for use by the owner user's original intention.

In one embodiment, the power consumption of the second mode is less than the power consumption of the first mode.

Please refer to FIG. 3 , there are two modes on the wearable device, and the wearable device can switch between the first mode and the second mode. The first mode on the wearable device may be referred to as a normal mode, in which the first system is run on the wearable device. The second mode on the wearable device may be referred to as a power saving mode, in which the second system runs on the wearable device. Among them, the first system can support advanced functions, and the second system cannot support advanced functions, and can only ensure the realization of basic functions. The basic functions here, such as time display, step counting, weather information, etc., generally do not involve private information. Correspondingly, the advanced functions here, such as calls, instant messaging, transactions, reminders, etc., generally involve private information.

Wherein, the first system generally runs on a main processor, such as a central processing unit (Central ProcessUnit; CPU), and the second system runs on a coprocessor, such as a microcontroller unit (Microcontroller Unit, MCU). The MCU is obtained by appropriately reducing the frequency, specifications, and memory of the CPU. Therefore, the performance of the MCU is worse than that of the CPU, and the power consumption is obviously lower than that of the CPU. Obviously, the power consumption of the second mode is smaller than that of the first mode.

Here, the first system may specifically refer to an Android system, an ios system, a symbian system, a Windows Phone system, or other systems that can run on a wearable device to support advanced functions, and the application does not specifically limit the first system. The second system cannot support advanced functions, and can only ensure the realization of basic functions. For wearable devices, the second system may be an RTOS system. Of course, this application does not specifically limit the second system.

Because the wearable device can be switched between the first mode and the second mode, when it is determined according to the comparison result that the current user is not a legitimate user, the wearable device is controlled to switch from the first mode to the second mode. That is, the wearable device is controlled to switch from the normal mode to the power saving mode.

In the embodiment of the present application, when it is determined according to the comparison result that the current user is not a legitimate user, the wearable device is controlled to switch from the first mode to the second mode. In the second mode, no private information is involved, so no leakage of private information will be caused. In addition, the power consumption of the second mode is smaller than that of the first mode, so that the use time of the wearable device can be prolonged. If the wearable device is in a lost state at this time, the search time can be extended, and the chance of finding it back can be increased.

In one embodiment, the private information includes interaction information.

In the embodiment of the present application, the biometric feature of the current user is obtained through the wearable device, and the biometric feature of the current user is compared with the biometric feature pre-stored in the wearable device to obtain a comparison result. When it is determined according to the comparison result that the current user is not a legitimate user, the control wearable device does not support access to private information. Here, the private information includes interactive information such as calls, instant messaging, transactions, and reminders. Finally, the current user cannot access private information such as interactive information on the wearable device, thereby realizing the protection of personal information and improving the security of personal information.

In one embodiment, the biological features include physiological features or behavioral features, and the physiological features include any combination of electrocardiographic features, heart rate features, blood oxygen saturation, fingerprints, and iris.

The behavior feature here may include features such as the user's walking gait, which, of course, is not limited in this application.

In this embodiment of the present application, when the wearable device is worn on the user's body, the biometric feature of the current user can be acquired through a sensor on the wearable device. Here, it may be to acquire a certain biological feature, or it may be to acquire multiple biological features, which is not limited in this application. When comparing the similarity, the similarity value may be obtained by comparing only the feature vector corresponding to one biological feature, or the average similarity value may be obtained by comparing the feature vectors corresponding to multiple biological features respectively. Obviously, by comparing the feature vectors corresponding to multiple biometrics, the average similarity is obtained, and the accuracy of judging whether the current user is a legitimate user is higher, and ultimately the security of the user's personal information is improved.

In a specific embodiment, as shown in Figure 6, a privacy protection method is provided, comprising the following steps:

Step 602, the wearable device receives an incoming call;

Step 604, obtaining the signal of the current user's electrocardiographic characteristic or heart rate characteristic through the wearable device;

Step 606, according to the signal of the current user's electrocardiographic feature or heart rate feature, calculate the feature vector corresponding to the electrocardiographic feature or the heart rate feature;

Step 608, compare the feature vector corresponding to the current user's electrocardiographic feature or heart rate feature with the feature vector corresponding to the electrocardiographic feature or heart rate feature pre-stored in the wearable device, and obtain a similarity value;

Step 610, determine whether the calculated similarity value is greater than the similarity threshold, and the similarity threshold is a preset threshold on the wearable device; if so, go to step 612; if not, go to step 614;

Step 612, judging that the current user is a legitimate user and does not control the wearable device;

Step 614 , when it is determined that the current user is not a legitimate user, the wearable device is controlled not to remind the incoming call, and the normal mode is triggered to enter the power saving mode.

In the embodiment of the present application, the current user's ECG characteristics or heart rate characteristics are obtained through the wearable device, and the current user's ECG characteristics or heart rate characteristics are compared with those pre-stored in the wearable device. result. When it is determined that the current user is not a legitimate user according to the comparison result, the wearable device is controlled not to remind the incoming call, and triggers to enter the power saving mode from the normal mode, and access to private information is not supported in the power saving mode. Because the wearable device itself has the function of detecting the user's ECG characteristics or heart rate characteristics, it will not cost extra hardware and software costs to judge whether the current user is a legitimate user by means of feature comparison, and the accuracy is high . Therefore, in the case that it is determined that the current user is not a legitimate user, the wearable device is controlled not to support access to private information. Ultimately, the current user cannot access the private information of the wearable device, thereby realizing the protection of personal information and improving the security of personal information.

It should be understood that although the various steps in the flowchart of FIG. 6 are displayed in sequence according to the arrows, these steps are not necessarily executed in sequence according to the sequence indicated by the arrows. Unless explicitly stated herein, the execution of these steps is not strictly limited to the order, and these steps may be performed in other orders. Moreover, at least a part of the steps in FIG. 6 may include multiple sub-steps or multiple stages. These sub-steps or stages are not necessarily executed and completed at the same time, but may be executed at different times. The execution of these sub-steps or stages The sequence is also not necessarily sequential, but may be performed alternately or alternately with other steps or sub-steps of other steps or at least a portion of a phase.

In one embodiment, as shown in FIG. 7, a privacy protection device 700 is also provided, and the device includes:

a biometrics acquisition module 720, configured to acquire the biometrics of the current user through the wearable device;

The feature comparison module 740 is configured to compare the biometric features of the current user with the biometric features pre-stored in the wearable device to obtain a comparison result;

The control module 760 is configured to control the wearable device not to support access to private information when it is determined according to the comparison result that the current user is not a legitimate user.

In one embodiment, the wearable device can be switched between a first mode and a second mode, in which the access to private information is supported in the first mode, and the access to private information is not supported in the second mode; the control module 760, further It is used to control the wearable device to switch from the first mode to the second mode when it is determined according to the comparison result that the current user is not a legitimate user.

In one embodiment, the control module 760 is further configured to control the wearable device to support access to private information when it is determined according to the comparison result that the current user is a legitimate user.

In one embodiment, the biometrics include a feature vector corresponding to the biometrics; the biometrics of the current user is acquired through the wearable device, and the biometrics acquisition module 720 is further configured to collect the signal of the current user's biometrics through the wearable device; according to The signal of the current user's biometrics, and the feature vector corresponding to the biometrics is calculated.

In one embodiment, the feature comparison module 740 is further configured to compare the feature vector corresponding to the biometric feature of the current user with the feature vector corresponding to the biometric feature pre-stored in the wearable device to obtain a comparison result.

In one embodiment, the biometrics acquisition module 720 is further configured to acquire the biometrics of the current user through the wearable device when the wearable device receives the privacy message.

In one embodiment, the power consumption of the second mode is less than the power consumption of the first mode.

In one embodiment, the private information includes interaction information.

In one embodiment, the biological features include physiological features or behavioral features, and the physiological features include any combination of electrocardiographic features, heart rate features, blood oxygen saturation, fingerprints, and iris.

The division of each module in the above privacy protection device is only used for illustration. In other embodiments, the privacy protection device may be divided into different modules as required to complete all or part of the functions of the above privacy protection device.

For the specific limitation of the privacy protection device, reference may be made to the limitation of the privacy protection method above, which will not be repeated here. Each module in the above privacy protection device may be implemented in whole or in part by software, hardware and combinations thereof. The above modules can be embedded in or independent of the processor in the computer device in the form of hardware, or stored in the memory in the computer device in the form of software, so that the processor can call and execute the operations corresponding to the above modules.

FIG. 8 is a schematic diagram of the internal structure of a wearable device in one embodiment. As shown in Figure 8, the wearable device includes a processor and a memory connected through a system bus. Among them, the processor is used to provide computing and control capabilities to support the operation of the entire wearable device. The memory may include non-volatile storage media and internal memory. The nonvolatile storage medium stores an operating system and a computer program. The computer program can be executed by the processor to implement a privacy protection method provided by the following embodiments. Internal memory provides a cached execution environment for operating system computer programs in non-volatile storage media.

The implementation of each module in the privacy protection apparatus provided in the embodiments of the present application may be in the form of a computer program. The computer program can be run on the wearable device. The program modules formed by the computer program can be stored on the memory of the wearable device. When the computer program is executed by the processor, the steps of the methods described in the embodiments of the present application are implemented.

Embodiments of the present application also provide a computer-readable storage medium. One or more non-volatile computer-readable storage media containing computer-executable instructions, when executed by one or more processors, cause the processors to perform the steps of the privacy-preserving method.

A computer program product containing instructions, when executed on a computer, causes the computer to perform a privacy-preserving method.

Any reference to a memory, storage, database, or other medium as used in embodiments of the present application may include non-volatile and/or volatile memory. Suitable nonvolatile memory may include read only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory. Volatile memory may include random access memory (RAM), which acts as external cache memory. By way of illustration and not limitation, RAM is available in various forms such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDR SDRAM), enhanced SDRAM (ESDRAM), synchronous Link (Synchlink) DRAM (SLDRAM), Memory Bus (Rambus) Direct RAM (RDRAM), Direct Memory Bus Dynamic RAM (DRDRAM), and Memory Bus Dynamic RAM (RDRAM).

The above examples only represent several embodiments of the present application, and the descriptions thereof are relatively specific and detailed, but should not be construed as a limitation on the scope of the patent of the present application. It should be pointed out that for those skilled in the art, without departing from the concept of the present application, several modifications and improvements can be made, which all belong to the protection scope of the present application. Therefore, the scope of protection of the patent of the present application shall be subject to the appended claims.

Claims (12)

1. a privacy protection method, it is characterised in that the method comprises: Obtain the biometrics of the current user through the wearable device; Comparing the biometric feature of the current user with the biometric feature pre-stored in the wearable device to obtain a comparison result; When it is determined according to the comparison result that the current user is not a legitimate user, the wearable device is controlled to not support access to private information. 2. The method according to claim 1, wherein the wearable device is switchable between a first mode and a second mode, and supports access to private information in the first mode, and in the first mode Access to private information is not supported in the second mode; When it is determined according to the comparison result that the current user is not a legitimate user, controlling the wearable device to not support access to private information, including: When it is determined according to the comparison result that the current user is not a legitimate user, the wearable device is controlled to switch from the first mode to the second mode. 3. The method according to claim 1, wherein the method further comprises: When it is determined according to the comparison result that the current user is a legitimate user, the wearable device is controlled to support access to the private information. 4. The method according to claim 1, wherein the biological feature comprises a feature vector corresponding to the biological feature; and the obtaining the biological feature of the current user through the wearable device comprises: Collect the biometric signal of the current user through the wearable device; According to the signal of the biometric feature of the current user, a feature vector corresponding to the biometric feature is calculated. 5. The method according to claim 4, characterized in that, the comparison result obtained by comparing the biometrics of the current user with the biometrics pre-stored in the wearable device comprises: A comparison result is obtained by comparing the similarity between the feature vector corresponding to the biometric feature of the current user and the feature vector corresponding to the biometric feature pre-stored in the wearable device. 6. The method according to claim 1, wherein the obtaining the biometrics of the current user through the wearable device comprises: When the wearable device receives the privacy message, obtain the biometrics of the current user through the wearable device. 7 . The method of claim 2 , wherein the power consumption of the second mode is smaller than the power consumption of the first mode. 8 . 8. The method of claim 1, wherein the private information comprises interaction information. 9. The method according to any one of claims 1 to 8, wherein the biological features include physiological features or behavioral features, and the physiological features include electrocardiographic features, heart rate features, blood oxygen saturation, fingerprints , any combination of features in the iris. 10. A privacy protection device, wherein the device comprises: A biometric acquisition module, used to acquire the current user's biometrics through a wearable device; a feature comparison module, configured to compare the biometric features of the current user with the biometric features pre-stored in the wearable device to obtain a comparison result; A control module, configured to control the wearable device not to support access to private information when it is determined according to the comparison result that the current user is not a legitimate user. 11. A wearable device, comprising a memory and a processor, wherein a computer program is stored in the memory, wherein when the computer program is executed by the processor, the processor executes the following steps: The steps of the privacy protection method according to any one of claims 1 to 9. 12. A computer-readable storage medium on which a computer program is stored, characterized in that, when the computer program is executed by a processor, the steps of the privacy protection method according to any one of claims 1 to 9 are implemented.

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