Multi-Step Attack Detection Based on Pre-Trained Hidden Markov Models

Multi-Step Attack Detection Based on Pre-Trained Hidden Markov Models

Currently, hidden Markov-based multi-step attack detection models are mainly trained using the unsupervised Baum–Welch algorithm. The Baum–Welch algorithm is sensitive to the initial values of model parameters. However, its training uses random or average parameter initialization methods, which freq...

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Bibliographic Details
Main Authors: Xu Zhang, Ting Wu, Qiuhua Zheng, Liang Zhai, Haizhong Hu, Weihao Yin, Yingpei Zeng, Chuanhui Cheng
Format: Article
Language:English
Published: MDPI AG 2022-04-01
Series:Sensors
Subjects:
multi-step attack detection
Hidden Markov Model
pre-training
Online Access:https://www.mdpi.com/1424-8220/22/8/2874

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https://www.mdpi.com/1424-8220/22/8/2874

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