Security Defense Strategy for Intelligent Medical Diagnosis Systems (IMDS)

Annu Int Conf IEEE Eng Med Biol Soc. 2019 Jul:2019:3454-3457. doi: 10.1109/EMBC.2019.8857166.

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.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Computer Security*
  • Medical Informatics*
  • Medical Records Systems, Computerized*