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Mixed-Zero-Sum-Game-Based Memory Event-Triggered Cooperative Control of Heterogeneous MASs Against DoS Attacks.

Published in IEEE transactions on cybernetics

This article studies the problem of memory event-triggered cooperative adaptive control of heterogeneous nonlinear multiagent systems (MASs) under denial-of-service (DoS) attacks based on the multiplayer mixed zero-sum (ZS) game strategy. First, a neural-network-based reinforcement learning scheme is structured to obtain the Nash equilibrium soluti...

Resilient-Learning Control of Cyber–Physical Systems Against Mixed-Type Network Attacks

This article develops a resilient-learning control strategy for a kind of cyber–physical system to mitigate the influence of a mixed-type of network attacks. Such an attack is composed of a false-data-injection attack and a replay attack, which can be represented comprehensively by using Markov jump signals. Note that the involved attacks are assum...

Event-Triggered Distributed Intelligent Learning Control of Six-Rotor UAVs Under FDI Attacks

Aiming at the six-rotor unmanned aerial vehicles subjected to false data injection attacks, an event-triggered-based distributed intelligent learning control strategy is proposed in this paper. The reinforcement learning algorithm which is designed based on neural networks is introduced to achieve intelligent optimal control. Under the actor-critic...

Temporal assessment of malicious turnout behaviors

International audience

Temporal assessment of malicious turnout behaviors

Monitored data collected from railway turnouts are vulnerable to cyberattacks: attackers may either conceal failures or trigger unnecessary maintenance actions. To address this issue, a cyberattack investigation method is proposed based on predictions made from the temporal evolution of the turnout behavior. These predictions are then compared to t...

Temporal assessment of malicious behaviors: application to turnout field data monitoring

Monitored data collected from railway turnouts are vulnerable to cyberattacks: attackers may either conceal failures or trigger unnecessary maintenance actions. To address this issue, a cyberattack investigation method is proposed based on predictions made from the temporal evolution of the turnout behavior. These predictions are then compared to t...

An Application for Predicting Phishing Attacks: A case of Implementing a Support Vector Machine Learning Model

The imminent threat that phishing websites poses is a major concern for internet users worldwide. These fraudulent websites are crafted by cyber attackers to appear trustworthy and deceive vulnerable users into divulging confidential data like medical health records, credit card details, passwords, and Personal Identifiable information (PII). To ba...

A Resilience Enhanced Secondary Control for AC Micro-grids

Communication-based distributed secondary control is deemed necessary to restore the state of islanding AC microgrids to set points. As its limited global information, the microgrids become vulnerable to cyber-attacks, which by falsifying the communicating singles, like the angular frequency, can disturb the power dispatch in the microgrids or even...

AI-baed Environment Perception for Autonomous Vehicle Parameters Estimation. / AI-baed Environment Perception for Autono...

State Estimation and Control of Autonomous Connected Vehicles: Advances and Challenges.