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A Distributed, Multi-Agent Approach to Reactive Network Resilience

机译:一种分布式,多智能经纪人的无功

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Critical network infrastructures are communication networks whose disruption can create a severe impact on other systems. Multi-agent systems have been successfully used to protect critical network infrastructures, with approaches ranging from reasoning about secure design and policies to multi-agent intrusion detection systems (IDS). However, there is little research on the possibilities for multi-agent systems to react to known intrusions. In this paper we propose a multi-agent framework for reactive network resilience, that is, to allow a network to reconfigure itself in the event of a security incident so that the risk of further damage is mitigated. The proposed framework takes advantage of a risk model based on multilayer networks and of distributed belief propagation techniques to agree on a new, more resilient configuration of the network in the event of an attack. We compare our proposal with a number of centralized optimization and multi-agent negotiation techniques. Experiments show that our proposal outperforms the reference approaches both in terms of risk mitigation and performance.
机译:关键网络基础架构是通信网络,其中断可能对其他系统产生严重影响。多种代理系统已成功用于保护关键网络基础架构,并从推理到多种代理入侵检测系统(ID)的方法范围。然而,几乎没有研究多种子体系统对已知入侵反应的可能性。在本文中,我们提出了一种用于无功网络弹性的多代理框架,即允许网络在安全事件发生时重新配置自己,以便减轻进一步损坏的风险。所提出的框架利用基于多层网络和分布式信念传播技术的风险模型,以在发生攻击时对网络的新的,更具弹性配置进行达成一致。我们将我们的提案与许多集中式优化和多功能协商技术进行比较。实验表明,我们的提案在风险缓解和性能方面表现出参考方法。

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