面向瞬态与稳态阶段的多智能体系统统一攻击检测策略
A Unified Attack Detection Strategy for Multi-Agent Systems over Transient and Steady Stages
AI总结：
针对多智能体系统通信层、智能体层及混合攻击，提出覆盖瞬态与稳态阶段的统一检测框架，并通过网联车辆队列示例验证。
摘要：
本文针对多智能体系统（MASs）提出了一种统一检测策略，可抵御三类攻击，并同时适用于瞬态和稳态阶段。对于通信层攻击，设计了一种基于水印并采用 Kullback–Leibler（KL）散度的检测方案。与传统通信方案不同，每个智能体传输的消息集合包含两个状态值，并分别带有不同类型的水印。研究发现，检测性能由水印信号的相关参数决定。不同于现有检测手段，该方案能够同时适用于瞬态和稳态阶段。对于智能体层攻击，提出了一种与收敛速率相关的检测方法。结果表明，所考虑系统的弹性由包络的系数和偏置来刻画。对于混合攻击，在上述检测机制的基础上，提出了一种借助可信智能体的通用框架，该框架要求更弱的图条件和更少的信息传输。最后，给出了一个与网联车辆队列相关的示例，以支持理论结果。
英文摘要：
This paper proposes a unified detection strategy against three kinds of attacks for multi-agent systems (MASs) which is applicable to both transient and steady stages. For attacks on the communication layer, a watermarking-based detection scheme with KullbackLeibler (KL) divergence is designed. Different from traditional communication schemes, each agent transmits a message set containing two state values with different types of watermarking. It is found that the detection performance is determined by the relevant parameters of the watermarking signal. Unlike the existing detection manoeuvres, such a scheme is capable of transient and steady stages. For attacks on the agent layer, a convergence rate related detection approach is put forward. It is shown that the resilience of the considered system is characterized by the coefficient and offset of the envelope. For hybrid attacks, based on the above detection mechanisms, a general framework resorting to trusted agents is presented, which requires weaker graph conditions and less information transmission. Finally, an example associated with the platooning of connected vehicles is given to support the theoretical results.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
