在外国直接投资攻击下,事件触发多代理系统的流量特征
IEEE transactions on cybernetics
|March 3, 2026
概括
本研究分析了虚假数据注入攻击如何影响周期性事件触发的多代理系统 (MAS). 我们开发了一种交通模型来检测异常触发行为,并识别最小干预时间 (MIET) 上的攻击效应.
科学领域:
- 控制系统工程 控制系统工程
- 网络安全 网络安全
- 网络化系统 网络化系统
背景情况:
- 事件触发系统提供效率,但易受网络攻击的影响.
- 假数据注入 (FDI) 攻击对多代理系统 (MAS) 的稳定性和可靠性构成重大威胁.
研究的目的:
- 调查多重外国直接投资攻击对周期性事件触发的MAS的触发行为的影响.
- 开发一个交通模型来描述触发行为,并分析攻击对最小干预时间 (MIET) 的影响.
- 提出一种选择采样周期的方法,用于在外国直接投资攻击下检测异常.
主要方法:
- 开发了一个基于抽象的交通模型来描述触发行为,包括MIET和事件间时间 (IET) 过渡.
- 分析了外国直接投资攻击对MIET的影响.
- 使用交通模型设计了一个基于行为的异常检测算法.
主要成果:
- 拟议的交通模型有效地描述了各种初始状态下的触发行为.
- 量化了外国直接投资袭击对MIET的影响.
- 证明了异常检测算法的有效性,用于识别由攻击引起的异常触发行为.
结论:
- 该研究为了解和减轻事件触发的MAS的FDI攻击提供了一个框架.
- 开发的异常检测方法在实际应用中有效地保护MASs.
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