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Agent-Based Ecological Risk Simulation of Malware Epidemics in Tactical Mobile Ad Hoc Networks

机译:基于代理的战术移动临时网络中恶意软件流行病的生态风险模拟

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Securing mobile ad hoc networks (MANET) at the tactical edge has proven to be an exigent operational challenge for Net-Centric Warfare operations. As cyberattacks evolve in both sophistication and ubiquity, the task of accurately assessing risk in sensitive networks has grown more time-consuming, costly, and cumbersome. Traditional risk assessment techniques typically focus on assessing the vulnerabilities of individual systems and ignore the complex connections between software, hardware, and users which may span across entire networks. These connections often change dynamically with the respect to the environment, individual behavior, and active mission. The application of ecological risk-assessment to this complex, adaptive system (CAS) allows for the construction of holistic models of the tactical network ecosystem and its attendant cyber risks. In this work, we propose an agent-based model of ecological risk assessment of a simulated mobile tactical network using the Overview, Design concepts, and Details protocol (ODD). This model leverages a unique metric for dynamic risk assessment "risk flow" which allows for the future prediction of cascading failures.
机译:在战术边缘保护移动临时网络(MANET)已被证明是为以网络为中心的战争运营成为一个艰巨的业务挑战。随着Cyber​​attack在复杂性和泛滥中发展,准确评估敏感网络风险的任务已经增加了更多耗时,昂贵和繁琐的。传统风险评估技术通常侧重于评估各个系统的漏洞,并忽略可能跨越整个网络的软件,硬件和用户之间的复杂连接。这些连接通常与环境,单个行为和主动任务的主动动态地改变。将生态风险评估应用于这种复杂的自适应系统(CAS)允许建造战术网络生态系统的整体模型及其服务员网络风险。在这项工作中,我们使用概述,设计概念(奇数)提出了一种基于代理的模拟移动战术网络的生态风险评估模型。该模型利用了动态风险评估“风险流”的独特度量,这允许将来的级联故障预测。

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