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Security Defense Strategy for Intelligent Medical Diagnosis Systems (IMDS)

Luo, Cunjin and Soygazi, Hasan and Janicke, Helge and He, Ying (2019) Security Defense Strategy for Intelligent Medical Diagnosis Systems (IMDS). In: 2019 41st Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2019-07-23 - 2019-07-27, Berlin.

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Abstract

Aims: The Intelligence Medical Diagnosis System (IMDS) has been targeted by the cyber terrorists, who aim to destroy the Critical National Infrastructure (CNI). This paper is motivated by the most recent incidents happened worldwide and have resulted in the compromise of diagnosis results. This study was undertaken to show how the IMDS could be attacked and diagnosis results compromised and present a set of cyber defense strategies to prevent against such attacks. Methods and Results: This study used the ECGs data from the PhysioNet/Computing in Cardiology (CinC) Challenge 2017. We fed the data into our IMDS and launched a series of ethical hacking, which is specifically tailored to target IMDS. We proposed a set of cyber security strategies to prevent such compromise. We tested the effectiveness of our cyber defense strategies using an experiment. The results showed that the strategies were effective in protecting the IMDS diagnosis results from being compromised. Conclusions: This study provides novel insights into the protection of IMDS and concludes that our cyber defense strategies can protect IMDS from being compromised by Brute Force and SQL Injection attacks.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Published proceedings: 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
Divisions: Faculty of Science and Health > Computer Science and Electronic Engineering, School of
Depositing User: Elements
Date Deposited: 03 Mar 2021 10:24
Last Modified: 03 Mar 2021 10:24
URI: http://repository.essex.ac.uk/id/eprint/29986

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