Publication | Closed Access
Adversarial Attacks and Defenses on Cyber–Physical Systems: A Survey
81
Citations
50
References
2020
Year
Cyber-security IssuesEngineeringInformation SecurityInformation ForensicsVisual SurveillanceScada SecurityImage AnalysisAdversarial Machine LearningSystems EngineeringCps SecurityAdversarial AttacksThreat (Computer)Machine VisionDefense SystemsData PrivacyNoncamera Sensor-based CpssComputer ScienceDeep LearningComputer VisionData SecurityCryptographyCyber Physical SystemsAttack Model
Cyber-security issues on adversarial attacks are actively studied in the field of computer vision with the camera as the main sensor source to obtain the input image or video data. However, in modern cyber-physical systems (CPSs), many other types of sensors are becoming popularly used, such as surveillance sensors, microphones, and textual interfaces. A series of recent works investigates the adversarial attacks and the potential defenses in these noncamera sensor-based CPSs. Therefore, this article provides a systematic discussion on these existing works and serves as a complimentary summary of the adversarial attacks and defenses for CPSs beyond the field of computer vision. We first introduce a general working flow for adversarial attacks on CPSs. On this basis, a clear taxonomy is provided to organize existing attacks effectively and indicate where the defenses can be potentially performed in CPSs as well. Then, we discuss these existing attacks and defenses with detailed comparison studies. Finally, we point out concrete research opportunities to be further explored along this research direction.
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