We propose a framework for examining the effects of infections with self-replicating malware on military forces engaged in kinetic combat. The framework uses models, in which kinetic attrition is represented by a Lanchester model coupled with an SIR-like model describing the malware propagation across the forces. Basic knowledge about the expected circumstances restricts the set of scenarios to be analyzed using the model. Remaining uncertainties are taken into account as random variations given by information-theoretic principles. The situation assessment is realized by Monte-Carlo simulations with the risk as a possible assessment measure. An application of the proposed framework to a simple exemplary situation demonstrates its usage in practice. The assumed uncertainties about the considered situation lead to an outcome statistics, which changes corresponding to the improving knowledge about the situation. Large uncertainties may lead to results profoundly different from point estimates. For assuring practicability, the paper provides options to determine the values of important model parameters by measurement. It also discusses how to utilize the assessment results calculated with help of the framework.
翻译:我们提议了一个框架,用于审查使用自我复制的恶意软件感染对参与动能战斗的军事力量的影响。框架使用模型,其中动能减耗由Lanchester模型和描述整个部队的恶意软件扩散的SIR型模型代表。关于预期情况的基本知识限制了使用模型分析的一套假设情况。其余的不确定性作为信息理论原则提供的随机变异加以考虑。情况评估通过蒙特卡洛模拟实现,作为可能的风险评估措施。将拟议框架应用于一个简单的示范性情况,表明其在实践中的使用情况。设想的情况不确定性导致结果统计,而结果统计则随着对形势的了解的提高而变化。巨大的不确定性可能导致与点估计结果大不相同。为了保证可行性,本文件提供了通过测量确定重要模型参数价值的备选方案。文件还探讨了如何利用框架帮助计算的评估结果。