对抗制
计算机科学
计算机安全
领域(数学)
信息物理系统
分类学(生物学)
对抗性机器学习
数据科学
人机交互
人工智能
数学
植物
生物
操作系统
纯数学
作者
Jiao Li,Yang Liu,Tao Chen,Zhen Xiao,Zhenjiang Li,Jianping Wang
出处
期刊:IEEE Internet of Things Journal
[Institute of Electrical and Electronics Engineers]
日期:2020-06-01
卷期号:7 (6): 5103-5115
被引量:51
标识
DOI:10.1109/jiot.2020.2975654
摘要
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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