Data Security at Remote Monitoring of Human State

Authors: Buldakova T.I., Mikov D.A., Sokolova A.V. Published: 19.12.2020
Published in issue: #4(133)/2020  
DOI: 10.18698/0236-3933-2020-4-42-57

Category: Informatics, Computer Engineering and Control | Chapter: Computing Systems and their Elements  
Keywords: data security, monitoring, electronic medical records, biosignals, medical information systems

The paper focuses on telemedicine systems for monitoring the human state and methods of protecting the transmitted data. To assess the state, biosignals are used, which are recorded by sensors and transmitted to a cloud medical information system. Based on the data obtained, a decision is made about the human state. Since the monitoring system works with restricted access information, it must be reliably protected. The study places an emphasis on possible information security threats for all components of the telemedicine system, analyzes various approaches to the protection of transmitted data in remote monitoring systems. It is noted that the existing methods are insufficient and additional methods of protecting the transmitted data are required. It is proposed to assess data security using the information risk management methods


[1] Bashi N., Karunanithi M., Fatehi F., et al. Remote monitoring of patients with heart failure: an overview of systematic reviews. J. Med. Internet Res., 2017, vol. 19, no. 1, art. e18. DOI: https://doi.org/10.2196/jmir.6571

[2] Lantsberg A.V., Troych K., Buldakova T.I. Developing E-services system of municipal clinic (based on foreign websites analysis). Nauchno-tekhnicheskaya informatsiya. Seriya 2: Informatsionnye protsessy i sistemy, 2011, no. 4, pp. 1--7 (in Russ.).

[3] Kuhlisch R., Kraufmann B., Restel H. Electronic case records in a box: integrating patient data in healthcare networks. Computer, 2012, vol. 45, no. 11, pp. 34--40. DOI: https://doi.org/10.1109/MC.2012.294

[4] Shevchuk B., Geraimchuk M., Ivakhiv O., et al. Remote monitoring of the person physiological state. IDAACS, 2017, pp. 707--711. DOI: https://doi.org/10.1109/IDAACS.2017.8095182

[5] Anishchenko V.S., Buldakova T.I., Dovgalevskiy P.Ya., et al. Conceptual model of virtual centre of public health services. Informatsionnye tekhnologii [Information Technologies], 2009, no. 12, pp. 59--64 (in Russ.).

[6] Karavaev A.S., Ishbulatov Y.M., Kiselev A.R., et al. A model of human cardiovascular system containing a loop for the autonomic control of mean blood pressure. Hum. Physiol., 2017, vol. 43, no. 1, pp. 61--70. DOI: https://doi.org/10.1134/S0362119716060098

[7] Buldakova T.I., Ignat’yeva E.V., Lyapina N.S., et al. Evaluation of the human states and allocation of risk groups of chronic diseases developing. Sistemnyy analiz i upravlenie v biomeditsinskikh sistemakh, 2011, vol. 10, no. 2, pp. 391--395 (in Russ.).

[8] Prado M., Roa L., Reina-Tosina J. Virtual center for renal support: technological approach to patient physiological image. IEEE Trans. Biomed. Eng., 2002, vol. 49, no. 12, pp. 1420--1430. DOI: https://doi.org/10.1109/TBME.2002.805454

[9] Suyatinov S.I. Criteria and method for assessing the functional state of a human operator in a complex organizational and technical system. GloSIC, 2018. DOI: https://doi.org/10.1109/GloSIC.2018.8570088

[10] Lamonaca F., Barbe K., Polimeni G., et al. Health parameters monitoring by smartphone for quality of life improvement. Measurement, 2015, vol. 73, no. 28, pp. 82--94. DOI: https://doi.org/10.1016/j.measurement.2015.04.017

[11] Paradiso R., Loriga G., Taccini N. A wearable health care system based on knitted integrated sensors. IEEE Trans. Inform. Tech. Biomed., 2005, vol. 9, no. 3, pp. 337--344. DOI: https://doi.org/10.1016/j.measurement.2015.04.017

[12] Buldakova T.I., Suyatinov S.I., Mikov D.A. Analysis of information risks of virtual infrastructures in health protection. Informatsionnoe obshchestvo, 2013, no. 4, p. 6 (in Russ.).

[13] Shevchuk B., Ivakhiv O., Geraimchuk M., et al. Efficient encoding and transmission of monitoring data in information-efficient wireless networks. IDAACS-SWS, 2016, pp. 138--143. DOI: https://doi.org/10.1109/IDAACS-SWS.2016.7805803

[14] Buldakova T.I., Suyatinov S.I., Krivosheeva D.A. Ensuring information security in telemedicine systems on the basis of model approach. Voprosy kiberbezopasnosti, 2014, no. 5, pp. 21--29 (in Russ.).

[15] Banerjee A., Gupta S.K.S., Venkatasubramanian K.K. PEES: physiology-based end-to-end security for mHealth. Proc. 4th Conf. Wireless Health, 2013, art. 2. DOI: https://doi.org/10.1145/2534088.2534109

[16] Buldakova T.I., Lantsberg A.V., Smolyaninova K.A. Secure access to information using smart card art. Vestn. Mosk. Gos. Tekh. Univ. im. N.E. Baumana, Priborostr. [Herald of the Bauman Moscow State Tech. Univ., Instrum. Eng.], 2017, no. 3, pp. 95--106 (in Russ.). DOI: http://dx.doi.org/10.18698/0236-3933-2017-3-95-106

[17] Buldakova T.I., Mikov D.A. Estimating information risks in computer-aided systems using a neuro-fuzzy model. Nauka i obrazovanie: nauchnoe izdanie MGTU im. N.E. Baumana [Science and Education: Scientific Publication], 2013, no. 11, pp. 295--310 (in Russ.). DOI: 10.7463/1113.0645489

[18] Lee M.-C. Information security risk analysis methods and research trends: AHP and fuzzy comprehensive method. IJCSIT, 2014, vol. 6, no. 1, pp. 29--45. DOI: http://dx.doi.org/10.5121/ijcsit.2014.6103

[19] Buldakova T.I., Mikov D.A. Implement of information security risk assessment technique in MATLAB. Voprosy kiberbezopasnosti, 2015, no. 4, pp. 53--61 (in Russ.).

[20] Sokolova A.V. Development of a telemedicine system for monitoring of human health. MMTT, 2019, vol. 3, pp. 86--89 (in Russ.).