在混合网络攻击下寻找多机器人系统的分布式弹性源
IEEE transactions on cybernetics
|September 3, 2025
概括
本研究介绍了面临网络攻击的多机器人系统的弹性源搜索算法. 这种方法可以确保机器人找到源头,即使有错误行为和拒绝服务攻击.
科学领域:
- 机器人技术
- 控制系统
- 网络安全
背景情况:
- 由于网络攻击,多机器人系统 (MRS) 在寻找源的任务中面临挑战.
- 混合攻击包括错误行为 (虚假数据,拜占庭式) 和拒绝服务 (DoS),破坏网络连接.
研究的目的:
- 在混合网络攻击下开发一套针对二级MRS的弹性源搜索算法.
- 确保可靠的协调和来源本地化尽管网络漏洞.
主要方法:
- 一个新的算法将源寻找问题转化为辅助点追踪问题.
- 使用历史最佳位置指导良性机器人.
- 在DoS攻击期间使用最新的攻击前数据来维护控制信号.
主要成果:
- 建议的算法确保辅助点汇聚到源, 集群良性机器人.
- 系统表现出对错误行为和DoS攻击的抵御力.
- 严格建立足够的稳定条件.
结论:
- 该算法将现有的弹性共识方法扩展到离散时间的二级MRS.
- 它有效地应对复杂的网络威胁.
- 模拟和实验结果验证了算法的有效性.
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