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Found 4 papers, 1 papers with code
CANShield: Deep Learning-Based Intrusion Detection Framework for Controller Area Networks at the Signal-Level
As ordinary injection attacks disrupt the typical timing properties of the CAN data stream, rule-based intrusion detection systems (IDS) can easily detect them.
G-IDS: Generative Adversarial Networks Assisted Intrusion Detection System
To defend against these attacks, intrusion detection system (IDS) has been widely used.
Machine Learning in Generation, Detection, and Mitigation of Cyberattacks in Smart Grid: A Survey
Smart grid (SG) is a complex cyber-physical system that utilizes modern cyber and physical equipment to run at an optimal operating point.
A Novel Framework for Threat Analysis of Machine Learning-based Smart Healthcare Systems
In this paper, we propose SHChecker, a novel threat analysis framework that integrates machine learning and formal analysis capabilities to identify potential attacks and corresponding effects on an IoMT-based SHS.
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