.png){kind=icon}
返回
Dynamic Data Integration for Resilience to Sensor Attacks in Multi-Agent Systems
.png){kind=icon}
OA
AI
DOI：10.1109/ACCESS.2021.3059560.png)
.png){kind=icon}
.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
In recent years the number of security incidents affecting control systems has increased. These incidents have shown the need to develop strategies to improve system resilience to cyber-attacks. This paper presents a practical implementation of a strategy to detect cyber-attacks and mitigate their effects on sensors of a multi-agent system. The proposed approach computes, in real-time, a convex combination of measurements from main and redundant sensors, producing a trust value of the measurement and feeding it to the controller. We implemented this approach on a testbed of ground robots in formation. Experimental results to various kinds of attacks and a key performance index show that the proposed strategy reduces the effects of attacks not only on the affected agent, but also prevents the propagation of the attack over the remaining agents.
Keyword:
Sensors
Robots
Sensor systems
Robot sensing systems
Wheels
Multi-agent systems
Mobile robots
Cyber-physical systems
multi-agent systems
resilience to sensor attacks
sensor attacks
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
3.6
论文数:
9.8W
被引数:
29.4W
机构
引用论文
.png){kind=icon}
分享收藏分享收藏Cyber Threats Facing Autonomous and Connected Vehicles: Future Challenges自动驾驶和联网车辆面临的网络威胁: 未来的挑战OAAI
OAAI分享收藏
查看更多内容