Resilient Multi-Agent Systems Against Denial of Service Attacks via Adaptive and Activatable Network Layers

Deepalakshmi Babu Venkateswaran;Zhihua Qu
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Abstract

This paper tackles the challenge of maintaining resilience in multi-agent systems under Denial of Service (DoS) attacks by proposing a robust architecture that includes an instantaneous detection algorithm for connectivity losses and a dynamic system to activate backup network layers when disruptions occur. We also introduce a simplified approach that reduces the number of required layers through an adaptive repair algorithm. The simulation section, divided into two parts, demonstrates the effectiveness of the algorithm: one part showcases its scalability in a large-scale system, and the other applies it to a real-world power system using the IEEE 123-node system. Both simulations confirm that the proposed approach significantly enhances system stability and performance under attack conditions.
通过自适应和可激活网络层抵御拒绝服务攻击的弹性多代理系统
本文针对在拒绝服务(DoS)攻击下如何保持多代理系统的弹性这一难题,提出了一种稳健的架构,其中包括连接损失的瞬时检测算法和在中断发生时激活备份网络层的动态系统。我们还引入了一种简化方法,通过自适应修复算法减少所需层的数量。仿真部分分为两部分,展示了该算法的有效性:一部分展示了该算法在大规模系统中的可扩展性,另一部分将其应用于使用 IEEE 123 节点系统的实际电力系统。两个模拟结果都证实,所提出的方法能显著提高攻击条件下的系统稳定性和性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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