Detecting and Preventing Approach for Electronic Medical Records in E-Health
Keywords:
E-Healthcare Records, Security, Intrusion Detection System, Covid-19Synopsis
This is a Chapter in:
Book:
Automated Systems, Data, and Sustainable Computing
Series:
Chronicle of Computing
Chapter Abstract:
E-Health is designed to support the activities of patients, including the transmission of their medical history between healthcare professionals, the renewal or adaptation of prescriptions remotely, and the transmission of their test results online. Ensuring the security and confidentiality of patient information is a crucial point, hence the need to protect patient medical data and ensure their well-being at the same time. In this article, we propose to develop an IDS for the protection of patient medical data. Our work aims to overcome intrusion problems by developing an intrusion detection system based on legitimate healthcare professional authentication, signals and prevents intruders from breaking in. The proposed model protects patients and ensures the security of medical resources.
Cite this paper as:
Sellami L., Sellami K., Tiako P., Idoughi D. (2022) Detecting and Preventing Approach for Electronic Medical Records in E-Health. In: Tiako P.F. (ed) Automated Systems, Data, and Sustainable Computing. Chronicle of Computing. OkIP. https://doi.org/10.55432/978-1-6692-0001-7_6
Author Contact:
Lynda Sellami
slynda1@yahoo.fr
References
Clark, T., Woodley, R., & De Halas, D. (1962). Gas-Graphite Systems. In R. Nightingale (Eds.), Nuclear Graphite (pp. 15-26). Academic Press, New York.
Thimbleby, H. (2013). Technology and the Future of Healthcare. J Public Health. 1; 2(3): e28. Published online 2013 Dec1. doi: 10.4081/jphr.2013.e28.
Eysenbach. (2009). e-healh, http://www.jmir.org/2001/2/e20/. (Access November 2019).
Sellami, L., Tiako, P.F., & Sellami. T. (2018). Genetic Algorithm for Intrusion Detection System in Pervasive Medical Resource. International conference on operation research, Bussels, Belgium.
Ziaie. N. (2013). e-Health Security Issues and Solutions, Master of Science Thesis, University of Gothenburg. Göteborg. Sweden.
Kaur, G., Gupta. & E-health, N. (2016). A New Perspective on Global Health. Journal of Evolution & Technology. ISSN 1541-0099. 15(1).
Al-Rimawi, R., Dwairej, D., Masadeh, A., & Ahmad E, M. (2016). Al-Ananbeh. E-health Concept Development and Maturity in Literature.
Journal of Health, Medicine and Nursing. ISSN 2422-8419. An International Peer-reviewed Journal. Vol.29
Slaymaker, M., Politou, E., Power, D., & Simpson, A. (2004). e-Health security issues: the e-DiaMoND perspective. Proceedings of UK e-Science All Hands Meeting.
Barnes. J. (2006). Intrusion Detection Systems in Hospitals: What, Why, and Where. Unpublished manuscript. East Carolina University. Greenville. North Carolina. Retrieved from http://citeseerx. ist. psu.edu/viewdoc/download.
Sellami, L., Idoughi, D., & Tiako, P.F. (2016). Detection of New Attacks on Ubiquitous Services in Cloud Computing and Against Measure. Advanced Science Letters 22 (10), 3168-3172, Canada.
Sellami, L., Sellami, K., & Tiako, PF. (2018). Efficient Management of Security for Supporting Intrusion Detection in Ubiquitous and Pervasive Environments. Procedia Computer Science 155, 402-409, Canada 2019.
Nespoli, P., & Marmol. F.G. (2018). e-Health Wireless IDS with SIEM integration, IEEE Wireless Communication and Networking Conference (WCNC).
Nenova, M.V. (2015). Investigation of intrusion detection and intrusion prevention systems in eHealth hospital network. E+E. 3-4.
Bodkhe, S., Gadkar, A., Mane, S., Pol, P., Tarange, J., & Prof-Nalawade, T.B. (2018). Medical Data Sharing For Protection and Intrusion Avoidance in Cloudlet. International Research Journal of Engineering and Technology (IRJET). e-ISSN: 2395-0056, Vol: 05 Issue: 10.
Itten, A., & Vadakkumcheril, G.T. 2016). Enhanced Intrusion Detection System in Medical Cyber Physical Systems Using Multivariate Correlation Analysis. International Journal of Emerging Technology in Computer Science & Electronics (IJETCSE). ISSN: 0976-1353, Vol: 22 Issue: 4..
