Abstract
Internet of Things (IoT) is the backbone of telemedicine and its data security has become a significant concern that requires further attention. Therefore, this study was conducted with the aim of analyzing telemedicine systems, focusing on data security measures. Thirty peer-reviewed research studies published in 2018 were reviewed and compared according to certain parameters, viz., algorithms, IoT sensors, data encryption ability, communication mechanisms, mobile accessibility, protocols, software, and platforms. The results illustrate that transmitting sensitive medical data over the Internet has been identified as a major threat, and solutions such as ciphertext-policy attribute-based encryption and Secure Better Portable Graphics (SBPG) architecture have been developed to authenticate and protect data by concurrent encryption and watermarking . Furthermore, the comparison reveals that data encryption is the most frequently used secure data transmission method and 32% of the reviewed studies have focused on this. Regarding the most frequently used technologies, Raspberry Pi3 Edge platform (with the usage percentage of 60), TCP/IP protocol (with usage of 38%), and ECG and temperature sensors (with usage of 20%) have been discussed. Additionally, telemedicine has focused on standalone systems, and, in this context, integrated systems with micro-services are yet to be improved. Therefore, this study compares and analyzes the significant technical trends, security trends, widely used IoT sensors, platforms, and protocols; the aim is to help the researchers to gain a better insight into telemedicine to improve healthcare services by maximizing the capabilities of Internet of Things.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Albalawi U, Joshi S (2018) Secure and trusted telemedicine in internet of things IoT. In: IEEE 4th world forum on internet of things (WF-IoT)
Alelyani S, Ibrahim A (2018) Internet-of-things in telemedicine for diabetes management. In: 2018 15th learning and technology conference (L&T)
Bharath R, Rajalakshmi P (2018) WebRTC based invariant scattering convolution network for automated validation of ultrasonic videos for IoT enabled tele-sonography. In: 2018 IEEE 4th world forum on internet of things (WF-IoT)
Fook V, Jayachandran M, Jiliang E, Yongwei Z, Jianzhong E (2018) Fiber Bragg grating-based monitoring and alert system for care of residents in nursing homes. In: 2018 IEEE 4th world forum on internet of things (WF-IoT)
Kuusik A, Alam M, Kask T, Gross-Paju K (2018) Wearable m-assessment system for neurological disease patients. In: 2018 IEEE 4th world forum on internet of things (WF-IoT)
Aldeer M, Martin R, Howard R (2018) PillSense: designing a medication adherence monitoring system using pill bottle-mounted wireless sensors. In: 2018 IEEE international conference on communications workshops (ICC work-shops)
Hussein A, Kumar M, Burbano-Fernandez G, Ramirez-Gonzalez E, Abdulhay E, De Albuquerque V (2018) An automated remote cloud-based heart rate variability monitoring system. IEEE Access
Enciso-Quispe L, Sarmiento S, Zelaya-Policarpo E (2018) Personalized medical alert system based on internet of things with DHIS2. In: 2018 13th Iberian conference on information systems and technologies (CISTI)
Elhoseny M, Ramirez-Gonzalez G, Abu-Elnasr O, Shawkat S, Farouk A (2018) Secure medical data transmission model for IoT-based healthcare systems. IEEE Access
Stradolini F, Tamburrano N, Modoux T, Tuoheti A, Demarchi D, Carrara S (2018) IoT for telemedicine practices enabled by an Android™ application with cloud system integration. In: 2018 IEEE international symposium on circuits and systems (ISCAS)
Zagan I, Gaitan V, Iuga N, Brezulianu A (2018) m-Green CARDIO embedded system designed for out-of-hospital cardiac patients. In: 2018 international conference on development and application systems (DAS)
Aloi G, Fortino G, Gravina R, Pace P, Caliciuri G (2018) Edge computing-enabled body area networks. In: 2018 32nd international conference on advanced information networking and applications workshops (WAINA)
Saha J, Saha A, Chatterjee A, Agrawal S, Saha A, Kar A, Saha H (2018) Advanced IOT based combined remote health monitoring, home automation and alarm system. In: 2018 IEEE 8th annual computing and communication workshop and conference (CCWC)
Mohanty S, Kougianos E, Guturu P (2018) SBPG: secure better portable graphics for trustworthy media communications in the IoT. IEEE Access
Kotronis C, Nikolaidou M, Dimitrakopoulos G, Anagnostopoulos D, Amira A, Bensaali F (2018) A model-based approach for managing criticality requirements in e-Health IoT systems. In: 2018 13th annual conference on system of systems engineering (SoSE)
Perez Z, Memeti S, Pllana S (2018) A simulation study of a smart living IoT solution for remote elderly care. In: 2018 third international conference on fog and mobile edge computing (FMEC)
Wu F, Yang K, Yang Z (2018) Compressed acquisition and denoising recovery of EMGdi signal in WSNs and IoT. IEEE Trans Ind Inform 14:2210–2219
Chakravorty D, Islam S, Rana T (2018) IoT based patient guidance system using Raspberrypi. In: 2018 2nd international conference on electronics, materials engineering & nano-technology (IEMENTech)
Guo J (2018) Smartphone-powered electrochemical biosensing dongle for emerging medical IoT applications. IEEE Trans Ind Inform 14:2592–2597
Islam S, Hossain M, Hasan R, Duong T (2018) A conceptual framework for an IoT-based health assistant and its authorization model. In: 2018 IEEE 8th annual computing and communication workshop and conference (CCWC)
Santos J, Peng D, Hempel M, Sharif H (2018) Towards a physiologically-aware architecture for transmission of biomedical signals in BASNs/IoT. In: 2018 IEEE international conference on communications (ICC)
Hamici Z (2018) Towards data-centric genetic cryptography for telemonitoring and ambient assisted living systems. In: 2018 13th annual conference on system of systems engineering (SoSE)
Nadrag V, Poenaru, Suciu G (2018) Heart rate measurement using face detection in video—IEEE conference publication. In: 2018 international conference on communications (COMM)
Rajagopalan S, Janakiraman S, Rengarajan A, Rethinam S, Arumugham S, Saravanan G (2018) IoT framework for secure medical image transmission. In: 2018 international conference on computer communication and informatics (ICCCI)
Galletta A, Carnevale L, Bramanti A, Fazio M (2018) An innovative methodology for big data visualization for telemedicine. IEEE Trans Ind Inform 15:490–497
Satyanarayana P, Sujitha K, Kiron V, Reddy P, Ganesh M (2018) Assistance vision for blind people using k-NN algorithm and Raspberry Pi. In: Proceedings of 2nd international conference on micro-electronics, electromagnetics and telecommunications
Lavanya R, Nivetha M, Revasree K, Sandhiya K (2018) Smart chair-a telemedicine based health monitoring system. In: 2018 second international conference on electronics, communication and aerospace technology (ICECA)
Hammami S, Moungla H, Afifi H (2018) Proactive anomaly detection model for eHealth-enabled data in next generation cellular networks. In: 2018 IEEE international conference on communications (ICC)
Nepal S, Ranjan R, Choo K (2015) Trustworthy processing of healthcare big data in hybrid clouds. IEEE Cloud Comput 2:78–84. https://doi.org/10.1109/mcc.2015.36. Poh G, Chin J, Yau W, Choo K, Mohamad M (2017) Searchable symmetric encryption. ACM Comput Surv 50:1–37. https://doi.org/10.1145/3064005
Halgamuge M, Guru S, Jennings A (2018) Centralised strategies for cluster formation in sensor networks. In: Classification and clustering for knowledge discovery. Springer, Berlin, pp 315–331
Halgamuge M, Kotagiri R, Zukerman M (2006) High powered cluster heads for extending sensor network lifetime. In: Proceedings of 6th IEEE international symposium on signal processing and information technology (ISSPIT’06)
Parra V, Syed A, Mohammad A, Halgamuge M (2016) Pentaho and Jaspersoft: a comparative study of business intelligence open source tools processing big data to evaluate performances. Int J Adv Comput Sci Appl. https://doi.org/10.14569/ijacsa.2016.071003
Kalid S, Syed A, Mohammad A, Halgamuge M (2017) Big-data NoSQL databases: comparison and analysis of “Big-Table”, “DynamoDB”, and “Cassandra”. In: IEEE 2nd international conference on big data analysis (ICBDA’17), pp 89–93
Thakur S, Singh A, Ghrera S, Elhoseny M (2018) Multi-layer security of medical data through watermarking and chaotic encryption for tele-health applications. In: Multimedia tools and applications. Springer, Berlin, pp 1–14
Shehab A, Elhoseny M, Muhammad K, Sangaiah A, Yang P, Huang H, Hou G (2018) Secure and robust fragile watermarking scheme for medical images. IEEE Access
Dhole V, Patil N (2015) Self embedding fragile watermarking for image tampering detection and image recovery using self-recovery blocks. In: Proceedings of international conference on computing communication control and automation (ICCUBEA), pp 752–757
El’arbi M, Ben Amar C (2014) Image authentication algorithm with recovery capabilities based on neural networks in the DCT domain. IET Image Proc 8:619–626. https://doi.org/10.1049/iet-ipr.2013.0646
Patra B, Patra J (2012) CRT-based fragile self-recovery watermarking scheme for image authentication and recovery. In: 2012 international symposium on intelligent signal processing and communications systems
Preda R (2014) Self-recovery of unauthentic images using a new digital watermarking approach in the wavelet domain. In: 2014 10th international conference on communications (COMM)
Al-Haj A, Amer A (2014) Secured telemedicine using region-based watermarking with tamper localization. J Digit Imaging 27:737–750. https://doi.org/10.1007/s10278-014-9709-9
Al-Haj A, Mohammad A, Amer A (2016) Crypto-watermarking of transmitted medical images. J Digit Imaging 30:26–38. https://doi.org/10.1007/s10278-016-9901-1
Kannammal A, Subha Rani S (2014) Two level security for medical images using watermarking/encryption algorithms. Int J Imaging Syst Technol 24:111–120. https://doi.org/10.1002/ima.22086
Parah S, Ahad F, Sheikh J, Bhat G (2017) Hiding clinical information in medical images: a new high capacity and reversible data hiding technique. J Biomed Inform 66:214–230. https://doi.org/10.1016/j.jbi.2017.01.006
Singh A, Dave M, Mohan A (2014) Hybrid technique for robust and imperceptible image watermarking in DWT–DCT–SVD domain. Natl Acad Sci Lett 37(4):351–358
Singh A, Kumar B, Dave M, Mohan A (2015) Robust and imperceptible dual watermarking for telemedicine applications. Wirel Pers Commun 80(4):1415–1433
Additional References
Marjani M, Nasaruddin F, Gani A, Karim A, Hashem IAT, Siddiqa A, Yaqoob I (2017) Big IoT data analytics: architecture, opportunities, and open research challenges. IEEE Access 5:5247–5261
Hashem IAT, Chang V, Anuar NB, Adewole K, Yaqoob I, Gani A, Ahmed E, Chiroma H (2016) The role of big data in smart city. Int J Inf Manage 36(5):748–758
Elhoseny M, Abdelaziz A, Salama AS, Riad AM, Muhammad K, Sangaiah AK (2018) A hybrid model of internet of things and cloud computing to manage big data in health services applications. Futur Gener Comput Syst 86:1383–1394
Gardašević G, Veletić M, Maletić N, Vasiljević D, Radusinović I, Tomović S, Radonjić M (2017) The IoT architectural framework, design issues and application domains. Wireless Pers Commun 92(1):127–148
Dastjerdi AV, Gupta H, Calheiros RN, Ghosh SK, Buyya R (2016) Fog computing: principles, architectures, and applications. In: Internet of things, pp 61–75
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this chapter
Cite this chapter
Pramesha Chandrasiri, G.A., Halgamuge, M.N., Subhashi Jayasekara, C. (2019). A Comparative Study in the Application of IoT in Health Care: Data Security in Telemedicine. In: Mahmood, Z. (eds) Security, Privacy and Trust in the IoT Environment. Springer, Cham. https://doi.org/10.1007/978-3-030-18075-1_9
Download citation
DOI: https://doi.org/10.1007/978-3-030-18075-1_9
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-18074-4
Online ISBN: 978-3-030-18075-1
eBook Packages: Computer ScienceComputer Science (R0)