A survey on attack detection and resilience for connected and automated vehicles: From vehicle dynamics and control perspective
Z Ju, H Zhang, X Li, X Chen, J Han… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Recent advances in attack/anomaly detection and resilience strategies for connected and
automated vehicles (CAVs) are reviewed from vehicle dynamics and control perspective …
automated vehicles (CAVs) are reviewed from vehicle dynamics and control perspective …
Towards scalable, secure, and smart mission-critical IoT systems: review and vision
Recent emerging technologies such as artificial intelligence and machine learning have
been promising enormous economic and societal benefits. While it is desirable to deploy …
been promising enormous economic and societal benefits. While it is desirable to deploy …
Real-time attack-recovery for cyber-physical systems using linear approximations
Attack detection and recovery are fundamental elements for the operation of safe and
resilient cyber-physical systems. Most of the literature focuses on attack-detection, while …
resilient cyber-physical systems. Most of the literature focuses on attack-detection, while …
Exploration of deep learning models for real-time monitoring of state and performance of anaerobic digestion with online sensors
The immediate response to the state disturbances of anaerobic digestion is essential to
prevent anaerobic digestion failure. However, frequent monitoring of the state and …
prevent anaerobic digestion failure. However, frequent monitoring of the state and …
Real-time adaptive sensor attack detection in autonomous cyber-physical systems
Cyber-Physical Systems (CPS) tightly couple information technology with physical
processes, which rises new vulnerabilities such as physical attacks that are beyond …
processes, which rises new vulnerabilities such as physical attacks that are beyond …
Real-time attack-recovery for cyber-physical systems using linear-quadratic regulator
The increasing autonomy and connectivity in cyber-physical systems (CPS) come with new
security vulnerabilities that are easily exploitable by malicious attackers to spoof a system to …
security vulnerabilities that are easily exploitable by malicious attackers to spoof a system to …
Mavfi: An end-to-end fault analysis framework with anomaly detection and recovery for micro aerial vehicles
Safety and resilience are critical for autonomous unmanned aerial vehicles (UAVs). We
introduce MAVFI, the micro aerial vehicles (MAVs) resilience analysis methodology to …
introduce MAVFI, the micro aerial vehicles (MAVs) resilience analysis methodology to …
Physical invariant based attack detection for autonomous vehicles: Survey, vision, and challenges
Automobiles continue to become more autonomous and connected as increasingly
integrating with information technology. Meanwhile, this advance also comes with a higher …
integrating with information technology. Meanwhile, this advance also comes with a higher …
Bit scanner: Anomaly detection for in-vehicle CAN bus using binary sequence whitelisting
Due to the vulnerability of in-vehicle networks, particularly the Controller Area Network
(CAN), malicious remote intrusion into vehicles has been a prominent public concern in …
(CAN), malicious remote intrusion into vehicles has been a prominent public concern in …
Brief industry paper: Hdad: Hyperdimensional computing-based anomaly detection for automotive sensor attacks
As the connectivity of autonomous vehicles keeps growing, it is an accepted fact that they
are even more vulnerable to malicious cyber-attacks. Recently, sensor spoofing has become …
are even more vulnerable to malicious cyber-attacks. Recently, sensor spoofing has become …