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Multi-stage Attack Detection Algorithm Based on Hidden Markov Model

机译:基于隐马尔可夫模型的多阶段攻击检测算法

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摘要

With the growing amount and kinds of network intrusion, multi-stage attack is becoming the one of the main methos of the network security threaten. The hidden Markov model is a kind of probabilistic model, which is widely used in speech recognition, text and image processing. In this paper, a Multistage Attack Detection Algorithm Based on Hidden Markov Model is proposed.And inorder to improve the performance of this algorithm.aother algorithm aims at false positive filter is also put forward. Experiments show that the algorithm has good perfomance in multi-stage attack detection.
机译:随着网络入侵数量的增加和种类的增加,多阶段攻击已成为威胁网络安全的主要方法之一。隐马尔可夫模型是一种概率模型,广泛应用于语音识别,文本和图像处理中。本文提出了一种基于隐马尔可夫模型的多阶段攻击检测算法,以提高算法的性能。提出了另一种针对误报滤波器的算法。实验表明,该算法在多阶段攻击检测中具有良好的性能。

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