AI Based Directory Discovery Attack and Prevention of the Medical Systems
- Resource Type
- Conference
- Authors
- He, Ying; Luo, Cunjin; Zheng, Jiyuan; Wang, Kuanquan; Zhang, Henggui
- Source
- 2022 Computing in Cardiology (CinC) Computing in Cardiology (CinC), 2022. 498:1-4 Sep, 2022
- Subject
- Bioengineering
Computing and Processing
Signal Processing and Analysis
COVID-19
Ethics
Pandemics
NIST
Critical infrastructure
Security
Cardiology
- Language
- ISSN
- 2325-887X
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.