基于关联攻击图的入侵预测算法研究

Xiao-ling He
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引用次数: 1

摘要

针对攻击图模型不能准确反映攻击证据对入侵意图预测的影响的问题,提出了一种基于关联攻击图的入侵预测算法INPA。本文定义了资源节点D、攻击证据M、单步攻击T等参数,构建了关联攻击图模型,描述了入侵者从初始节点到达目标节点的整个过程,然后利用贝叶斯推理设计和关联量化算法关联计算单步攻击的概率。最后,结合ASAD有向边之间的“与或”关系,推导出各节点到达概率的表达式公式,设计INPA,实现对网络中潜在入侵的动态预测功能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research on Intrusion Prediction Algorithm Based on Association Attack Diagram ASAD
In view of the problem that the attack diagram model can't accurately reflect the impact of attack evidence on the intrusion intent prediction, an intrusion prediction algorithm, INPA based on association attack diagram, ASAD is proposed. This paper defines the parameters of resource node D, attack evidence M, single-step attack T, etc., and constructs the associated attack diagram model to describe the whole process of the intruder reaching the target node from the initial node, and then, Bayesian inference design and Associated quantization algorithm, Correlate are used to calculate the probability of single-step attack. Finally, combined with the And-Or relationship between the directed edges of ASAD, the expression formula of the reach probability of each node is derived, and INPA is designed to realize the function of dynamic prediction the potential intrusion in the network.
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