AI Based Directory Discovery Attack and Prevention of the Medical Systems

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Abstract

The medical system has been targeted by the cyber attackers, who aim to bring down the health security critical infrastructure. This research is motivated by the recent cyber-attacks happened during COVID 19 pandemics which resulted in the compromise of the diagnosis results. This study was carried to demonstrate how the medical systems can be penetrated using AI-based Directory Discovery Attack and present security solutions to counteract such attacks. We then followed the NIST (National Institute of Standards and Technology) ethical hacking methodology to launch the AI-based Directory Discovery Attack. We were able to successfully penetrate the system and gain access to the core of the medical directories. We then proposed a series of security solutions to prevent such cyber-attacks.

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APA

He, Y., Luo, C., Zheng, J., Wang, K., & Zhang, H. (2022). AI Based Directory Discovery Attack and Prevention of the Medical Systems. In Computing in Cardiology (Vol. 2022-September). IEEE Computer Society. https://doi.org/10.22489/CinC.2022.401

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