CN103226671B - The long-range embedding of digital finger-print based on Agent and dissemination method - Google Patents

Abstract

The agent-based digital fingerprint remote embedding and release method includes the steps of creating a data fingerprint control center, creating a data fingerprint control center, and embedding digital fingerprint information based on a mobile agent. Starting from the solution of Agent security, construct a secure mobile Agent solution, and use the autonomy and mobility of Agent to realize remote application, third-party control center fingerprint filing, and remote dynamic embedding, providing reliable copyright protection for spatial data. Embedding and publishing method of virtual graphic fingerprint information.

Description

Agent-based Remote Embedding and Publishing Method of Digital Fingerprint

technical field

The invention belongs to the field of copyright protection of vector map data in geographic information systems, and in particular relates to an agent-based digital fingerprint remote embedding and publishing method.

Background technique

The research on autonomous digital fingerprint detection and tracking started earlier in foreign countries, has formed a relatively systematic theory and method, and is gradually entering the practical stage. Although there are some researches trying to study the digital fingerprint technology from the vector geospatial data itself, the depth and breadth of the overall research is still insufficient.

Digital fingerprint technology is a technology market that can protect the copyright of digital products. However, it does not prevent users from copying, but detects piracy and infringement after the event, and uses digital fingerprint information as evidence to play a deterrent role. At present, most researchers focus on the research of digital fingerprint algorithm and fingerprint information encoding, but in fact this is only a part of the digital fingerprint system. Effectively and quickly detect digital fingerprints in tens of thousands of digital products, and track the illegal misappropriation of digital products such as copying and duplication in time, so as to realize the copyright protection of digital products.

The novelty search of patent authorization for watermarking of vector geospatial data shows that the research on autonomous digital fingerprint embedding and content publishing technology of vector spatial data is still in its infancy, and more and more in-depth research is needed. The agent-based digital fingerprint embedding and content publishing method starts from the analysis of the characteristics of vector space data to solve remote application, third-party control center fingerprint filing, and remote dynamic embedding; starts from solving the security of Agent, and constructs a secure mobile Agent solution. The scheme provides a reliable virtual graphic fingerprint information embedding and content publishing method for the copyright protection of spatial data, and is one of the important technical means for the copyright protection of vector geospatial data.

Contents of the invention

The present invention aims to solve the shortcomings of the prior art that the remote application cannot be applied, the fingerprint filing of the third-party control center, and the remote dynamic embedding, starting from the solved Agent security, building a safe mobile Agent solution, and utilizing the autonomy and mobility of the Agent, Realize remote application, third-party control center fingerprint filing, remote dynamic embedding, and provide a reliable virtual graphic fingerprint information embedding and publishing method for the copyright protection of spatial data.

The technical solution adopted by the present invention to solve its technical problems is:

An Agent-based digital fingerprint remote embedding and publishing method, the Agent-based digital fingerprint embedding and content publishing method comprises the following steps:

(1) Create a data fingerprint control center

(1.1) Starting from solving the security of Agent, construct a secure mobile Agent solution.

(1.2) Construct a third-party fingerprint verification information database and a customer's virtual graphic digital fingerprint information filing database.

(1.3) Realize the encrypted synthesis of customer fingerprint information and third-party fingerprint verification information, and generate virtual graphic digital fingerprint information.

(1.4), according to the user's application for IP address, provide the function of dispatching the mobile Agent carrying virtual graphic digital fingerprint information and embedding virtual graphic digital fingerprint information to the client.

(1.5) Realize receiving remote mobile Agent information, and scheduling and coordinating its normal work.

(2), data fingerprint control center

(2.1) Accept the customer's fingerprint embedding application on the Internet, and the customer will provide relevant fingerprint information.

(2.2) Encrypt the fingerprint information provided by the customer, and add third-party fingerprint verification information at the same time.

(2.3) According to our unique virtual graphic digital fingerprint technology, generate virtual graphic digital fingerprint information suitable for vector graphics.

(2.4) Record the generated virtual graphic digital fingerprint information in the data of the data fingerprint control center.

(2.5) Detect the client's application IP address, and dispatch the mobile Agent carrying virtual graphic digital fingerprint information and embedding function to the client according to the IP address.

(2.6) On the client side, according to the vector graphics data file provided by the customer, the virtual graphics digital fingerprint information is embedded on the vector graphics data.

(2.7), report the completion of the embedding work to the data fingerprint control center, and destroy it by itself.

(3) Embedding method of digital fingerprint information based on mobile agent

(3.1) Obtain the virtual graphic digital fingerprint information for filing from the fingerprint database of the data fingerprint control center.

(3.2) Superimpose calculation on the digital fingerprint information of the virtual graphics and the coordinate sequence data of the vector map, and solve the feature points of the fingerprint information with the constraints of the virtual graphics.

(3.3) The process of solving feature points of fingerprint information: if there are feature points, there are feature points (X, Y), which must be (X ₁ , Y ₁ )-(X ₂ , Y) in the coordinate sequence data of the vector map ₂ ) For a point on a line segment, its (X, Y) coordinates can be determined by (X ₁ , Y ₁ )-(X ₂ , Y ₂ ):

$\left\{\begin{array}{c}\mathrm{<span\; class="notranslate">\; x</span>}<span\; class="notranslate">\; =</span>\frac{{\mathrm{<span\; class="notranslate">\; x</span>}}_{\mathrm{<span\; class="notranslate">\; 1</span>}}<span\; class="notranslate">\; +</span>\mathrm{<span\; class="notranslate">\; \&mu;</span>}{\mathrm{<span\; class="notranslate">\; x</span>}}_{\mathrm{<span\; class="notranslate">\; 2</span>}}}{\mathrm{<span\; class="notranslate">\; 1</span>}<span\; class="notranslate">\; +</span>\mathrm{<span\; class="notranslate">\; \&mu;</span>}}\\ \mathrm{<span\; class="notranslate">\; Y</span>}<span\; class="notranslate">\; =</span>\frac{{\mathrm{<span\; class="notranslate">\; Y</span>}}_{\mathrm{<span\; class="notranslate">\; 1</span>}}<span\; class="notranslate">\; +</span>\mathrm{<span\; class="notranslate">\; \&mu;</span>}{\mathrm{<span\; class="notranslate">\; Y</span>}}_{\mathrm{<span\; class="notranslate">\; 2</span>}}}{\mathrm{<span\; class="notranslate">\; 1</span>}<span\; class="notranslate">\; +</span>\mathrm{<span\; class="notranslate">\; \&mu;</span>}}\end{array}\right.<span\; class="notranslate">\; .</span><span\; class="notranslate">\; .</span><span\; class="notranslate">\; .</span><span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; 1</span>}<span\; class="notranslate">\; )</span>$

Substituting the intersection point (X, Y) determined by formula (1) into the known linear equation Y=K×X+B can obtain μ:

$\mathrm{<span\; class="notranslate">\; \&mu;</span>}<span\; class="notranslate">\; =</span>\frac{<span\; class="notranslate">\; (</span>{\mathrm{<span\; class="notranslate">\; Y</span>}}_{\mathrm{<span\; class="notranslate">\; 1</span>}}<span\; class="notranslate">\; -</span>\mathrm{<span\; class="notranslate">\; k</span>}{\mathrm{<span\; class="notranslate">\; x</span>}}_{\mathrm{<span\; class="notranslate">\; 1</span>}}<span\; class="notranslate">\; -</span>\mathrm{<span\; class="notranslate">\; b</span>}<span\; class="notranslate">\; )</span>}{<span\; class="notranslate">\; (</span>{\mathrm{<span\; class="notranslate">\; Y</span>}}_{\mathrm{<span\; class="notranslate">\; 2</span>}}<span\; class="notranslate">\; -</span>\mathrm{<span\; class="notranslate">\; k</span>}{\mathrm{<span\; class="notranslate">\; x</span>}}_{\mathrm{<span\; class="notranslate">\; 2</span>}}<span\; class="notranslate">\; -</span>\mathrm{<span\; class="notranslate">\; b</span>}<span\; class="notranslate">\; )</span>}<span\; class="notranslate">\; .</span><span\; class="notranslate">\; .</span><span\; class="notranslate">\; .</span><span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; 2</span>}<span\; class="notranslate">\; )</span>$

Substituting the μ obtained by formula (2) into formula (1), the (X, Y) coordinate values of fingerprint information feature points can be obtained.

(3.4) Insert the fingerprint information feature points obtained from the solution into the vector map coordinate sequence data according to the fingerprint information feature point insertion strategy.

The invention has the advantages that: starting from vector space data analysis, a virtual graphic fingerprint information encoding technology is proposed. Starting from the solution of Agent security, construct a secure mobile Agent solution, and use the autonomy and mobility of Agent to realize remote application, third-party control center fingerprint filing, and remote dynamic embedding, providing reliable copyright protection for spatial data The remote embedding and publishing method of virtual graphic fingerprint information is one of the important technical means of copyright protection of vector geospatial data.

Description of drawings

Figure 1 shows the fingerprint embedding Agent.

Figure 2 is a structural diagram of the Agent-based digital fingerprint embedding control center system.

Figure 3 is the original image of the digital fingerprint embedded in the experiment.

Fig. 4 is a schematic diagram of virtual graphic digital fingerprint embedding.

Detailed ways

The present invention will be further described below in conjunction with the accompanying drawings.

Fig. 2 is the system structure diagram of the digital fingerprint remote embedding and publishing method based on Agent, and the digital fingerprint embedding and content publishing method based on Agent mainly include the following steps:

(1) Create a data fingerprint control center

(1.1) Starting from solving the security of Agent, construct a secure mobile Agent solution.

(1.2) Construct a third-party fingerprint verification information database and a customer's virtual graphic digital fingerprint information filing database.

(1.3) Realize the encrypted synthesis of customer fingerprint information and third-party fingerprint verification information, and generate virtual graphic digital fingerprint information.

(1.4), according to the user's application for IP address, provide the function of dispatching the mobile Agent carrying virtual graphic digital fingerprint information and embedding virtual graphic digital fingerprint information to the client.

(1.5) Realize the reception of remote mobile Agnet information, and dispatch and coordinate its normal work.

(2), data fingerprint control center

(2.1) Accept the customer's fingerprint embedding application on the Internet, and the customer will provide relevant fingerprint information.

(2.2) Encrypt the fingerprint information provided by the customer, and add third-party fingerprint verification information at the same time.

(2.3) According to our unique virtual graphic digital fingerprint technology, generate virtual graphic digital fingerprint information suitable for vector graphics.

(2.4) Record the generated virtual graphic digital fingerprint information in the data of the data fingerprint control center.

(2.5) Detect the client's application IP address, and dispatch the mobile Agent carrying virtual graphic digital fingerprint information and embedding function to the client according to the IP address.

(2.6) On the client side, according to the vector graphics data file provided by the customer, the virtual graphics digital fingerprint information is embedded on the vector graphics data.

(2.7), report the completion of the embedding work to the data fingerprint control center, and destroy it by itself.

(3) Figure 1 is a structure diagram of digital fingerprint information based on mobile agent, which mainly includes a communication module, a data search module, a task report module and a digital fingerprint information embedding module, and its main digital fingerprint embedding steps are as follows:

(3.1) Obtain the virtual graphic digital fingerprint information for filing from the fingerprint database of the data fingerprint control center.

(3.2) Superimpose calculation on the digital fingerprint information of the virtual graphics and the coordinate sequence data of the vector map, and solve the feature points of the fingerprint information with the constraints of the virtual graphics.

(3.3) The process of solving feature points of fingerprint information: if there are feature points, there are feature points (X, Y), which must be (X ₁ , Y ₁ ) - (X ₂ , Y ) in the coordinate sequence data of the vector map ₂ ) For a point on a line segment, its (X, Y) coordinates can be determined by (X ₁ , Y ₁ )-(X ₂ , Y ₂ ):

$\left\{\begin{array}{c}\mathrm{<span\; class="notranslate">\; x</span>}<span\; class="notranslate">\; =</span>\frac{{\mathrm{<span\; class="notranslate">\; x</span>}}_{\mathrm{<span\; class="notranslate">\; 1</span>}}<span\; class="notranslate">\; +</span>\mathrm{<span\; class="notranslate">\; \&mu;</span>}{\mathrm{<span\; class="notranslate">\; x</span>}}_{\mathrm{<span\; class="notranslate">\; 2</span>}}}{\mathrm{<span\; class="notranslate">\; 1</span>}<span\; class="notranslate">\; +</span>\mathrm{<span\; class="notranslate">\; \&mu;</span>}}\\ \mathrm{<span\; class="notranslate">\; Y</span>}<span\; class="notranslate">\; =</span>\frac{{\mathrm{<span\; class="notranslate">\; Y</span>}}_{\mathrm{<span\; class="notranslate">\; 1</span>}}<span\; class="notranslate">\; +</span>\mathrm{<span\; class="notranslate">\; \&mu;</span>}{\mathrm{<span\; class="notranslate">\; Y</span>}}_{\mathrm{<span\; class="notranslate">\; 2</span>}}}{\mathrm{<span\; class="notranslate">\; 1</span>}<span\; class="notranslate">\; +</span>\mathrm{<span\; class="notranslate">\; \&mu;</span>}}\end{array}\right.<span\; class="notranslate">\; .</span><span\; class="notranslate">\; .</span><span\; class="notranslate">\; .</span><span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; 1</span>}<span\; class="notranslate">\; )</span>$

Substituting the intersection point (X, Y) determined by formula (1) into the known linear equation Y=K×X+B can obtain μ:

$\mathrm{<span\; class="notranslate">\; \&mu;</span>}<span\; class="notranslate">\; =</span>\frac{<span\; class="notranslate">\; (</span>{\mathrm{<span\; class="notranslate">\; Y</span>}}_{\mathrm{<span\; class="notranslate">\; 1</span>}}<span\; class="notranslate">\; -</span>\mathrm{<span\; class="notranslate">\; k</span>}{\mathrm{<span\; class="notranslate">\; x</span>}}_{\mathrm{<span\; class="notranslate">\; 1</span>}}<span\; class="notranslate">\; -</span>\mathrm{<span\; class="notranslate">\; b</span>}<span\; class="notranslate">\; )</span>}{<span\; class="notranslate">\; (</span>{\mathrm{<span\; class="notranslate">\; Y</span>}}_{\mathrm{<span\; class="notranslate">\; 2</span>}}<span\; class="notranslate">\; -</span>\mathrm{<span\; class="notranslate">\; k</span>}{\mathrm{<span\; class="notranslate">\; x</span>}}_{\mathrm{<span\; class="notranslate">\; 2</span>}}<span\; class="notranslate">\; -</span>\mathrm{<span\; class="notranslate">\; b</span>}<span\; class="notranslate">\; )</span>}<span\; class="notranslate">\; .</span><span\; class="notranslate">\; .</span><span\; class="notranslate">\; .</span><span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; 2</span>}<span\; class="notranslate">\; )</span>$

Substituting the μ obtained by formula (2) into formula (1), the (X, Y) coordinate value of the feature point of fingerprint information can be obtained.

(3.4) Insert the fingerprint information feature points obtained from the solution into the vector map coordinate sequence data according to the fingerprint information feature point insertion strategy.

The content described in the embodiments of this specification is only an enumeration of the implementation forms of the inventive concept. The protection scope of the present invention should not be regarded as limited to the specific forms stated in the embodiments. Equivalent technical means that a person can think of based on the concept of the present invention.

Claims (1)

1. An Agent-based digital fingerprint embedding and content publishing method, comprising the following steps: (1) Create a data fingerprint control center (1.1), starting from solving the security of Agent, constructing a safe mobile Agent solution; (1.2) Construct a third-party fingerprint verification information database and a customer's virtual graphic digital fingerprint information filing database; (1.3), realize the encrypted synthesis of customer fingerprint information and third-party fingerprint verification information, and generate virtual graphic digital fingerprint information; (1.4), according to the customer's application for IP address, provide the function of dispatching the mobile Agent carrying virtual graphic digital fingerprint information and embedding virtual graphic digital fingerprint information to the client; (1.5), realizing receiving remote mobile Agent information, and dispatching and coordinating its normal work; (2), data fingerprint control center (2.1) Accept the customer's fingerprint embedding application on the Internet, and provide relevant fingerprint information by the customer; (2.2) Encrypt the fingerprint information provided by the customer, and add third-party fingerprint verification information at the same time; (2.3), according to our unique virtual graphic digital fingerprint technology, generate virtual graphic digital fingerprint information suitable for vector graphics; (2.4), the generated virtual graphic digital fingerprint information is put on record in the data of the data fingerprint control center; (2.5), detect the client's application IP address, and dispatch the mobile Agent carrying the digital fingerprint information of virtual graphics and the embedded function of digital fingerprint information of virtual graphics to the client according to the IP address; (2.6), on the client side, according to the vector graphics data file provided by the customer, the vector graphics data is embedded with virtual graphic digital fingerprint information; (2.7), report the completion of the embedding work to the data fingerprint control center, and destroy it by itself; (3), Mobile Agent-based digital fingerprint information embedding method (3.1), from the fingerprint database of the data fingerprint control center, obtain the virtual graphic digital fingerprint information for record; (3.2), carry out overlay calculation to the coordinate sequence data of virtual graphic digital fingerprint information and vector map, solve the fingerprint information feature point with virtual graphic constraints; (3.3), the solving process of described characteristic point: if described characteristic point exists, then set characteristic point as (X, Y), then this characteristic point is a point on line segment AB, (X, Y of described characteristic point ) coordinates can be determined by two points A(X ₁ ,Y ₁ )-B(X ₂ ,Y ₂ ) on the line segment AB: $\left\{\begin{array}{c}\mathrm{<span\; class="notranslate">\; x</span>}<span\; class="notranslate">\; =</span>\frac{{\mathrm{<span\; class="notranslate">\; x</span>}}_{\mathrm{<span\; class="notranslate">\; 1</span>}}<span\; class="notranslate">\; +</span>\mathrm{<span\; class="notranslate">\; u</span>}{\mathrm{<span\; class="notranslate">\; x</span>}}_{\mathrm{<span\; class="notranslate">\; 2</span>}}}{\mathrm{<span\; class="notranslate">\; 1</span>}<span\; class="notranslate">\; +</span>\mathrm{<span\; class="notranslate">\; u</span>}}\\ \mathrm{<span\; class="notranslate">\; Y</span>}<span\; class="notranslate">\; =</span>\frac{{\mathrm{<span\; class="notranslate">\; Y</span>}}_{\mathrm{<span\; class="notranslate">\; 1</span>}}<span\; class="notranslate">\; +</span>\mathrm{<span\; class="notranslate">\; u</span>}{\mathrm{<span\; class="notranslate">\; Y</span>}}_{\mathrm{<span\; class="notranslate">\; 2</span>}}}{\mathrm{<span\; class="notranslate">\; 1</span>}<span\; class="notranslate">\; +</span>\mathrm{<span\; class="notranslate">\; u</span>}}\end{array}\right.<span\; class="notranslate">\; -</span><span\; class="notranslate">\; -</span><span\; class="notranslate">\; -</span><span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; 1</span>}<span\; class="notranslate">\; )</span>$ The characteristic point (X, Y) determined by formula (1) is substituted into the known linear equation Y=kX+b to obtain μ: $\mathrm{<span\; class="notranslate">\; u</span>}<span\; class="notranslate">\; =</span><span\; class="notranslate">\; -</span>\frac{<span\; class="notranslate">\; (</span>{\mathrm{<span\; class="notranslate">\; Y</span>}}_{\mathrm{<span\; class="notranslate">\; 1</span>}}<span\; class="notranslate">\; -</span>\mathrm{<span\; class="notranslate">\; k</span>}{\mathrm{<span\; class="notranslate">\; x</span>}}_{\mathrm{<span\; class="notranslate">\; 1</span>}}<span\; class="notranslate">\; -</span>\mathrm{<span\; class="notranslate">\; b</span>}<span\; class="notranslate">\; )</span>}{<span\; class="notranslate">\; (</span>{\mathrm{<span\; class="notranslate">\; Y</span>}}_{\mathrm{<span\; class="notranslate">\; 2</span>}}<span\; class="notranslate">\; -</span>\mathrm{<span\; class="notranslate">\; k</span>}{\mathrm{<span\; class="notranslate">\; x</span>}}_{\mathrm{<span\; class="notranslate">\; 2</span>}}<span\; class="notranslate">\; -</span>\mathrm{<span\; class="notranslate">\; b</span>}<span\; class="notranslate">\; )</span>}<span\; class="notranslate">\; -</span><span\; class="notranslate">\; -</span><span\; class="notranslate">\; -</span><span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; 2</span>}<span\; class="notranslate">\; )</span>$ Substituting the μ obtained by the formula (2) into the formula (1), the (X, Y) coordinate value of the feature point can be obtained; (3.4) Insert the feature points obtained from the solution into the coordinate sequence data of the vector map according to the feature point insertion strategy.