Boddy, A, Hurst, W, MacKay, M and El Rhalibi, A (2016) A Study into Detecting Anomalous Behaviours within HealthCare Infrastructures. In: IEEE DESE 2016 - Developments in eSystems Engineering, 31 August 2016 - 02 September 2016, Liverpool and Leeds, UK.

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Abstract

The theft of medical data, which is intrinsically valuable, can lead to loss of patient privacy and trust. With increasing requirements for valuable and accurate information, patients need to be confident that their data is being stored safely and securely. However, medical devices are vulnerable to attacks from the digital domain, with many devices transmitting data unencrypted wirelessly to electronic patient record systems. As such, it is now becoming more necessary to visualise data patterns and trends in order identify erratic and anomalous data behaviours. In this paper, a system design for modelling data flow within healthcare infrastructures is presented. The system assists information security officers within healthcare organisations to improve the situational awareness of cyber security risks. In addition, a visualisation of TCP Socket Connections using real-world network data is put forward, in order to demonstrate the framework and present an analysis of potential risks.

Item Type:	Conference or Workshop Item (Paper)
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science R Medicine > R Medicine (General)
Divisions:	Computer Science & Mathematics
Publisher:	IEEE
Date Deposited:	19 Dec 2016 10:25
Last Modified:	13 Apr 2022 15:14
URI:	https://researchonline.ljmu.ac.uk/id/eprint/5109

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