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: Cheng, C. (Author), Hu, H. (Author), Wu, T. (Author), Yin, W. (Author), Zeng, Y. (Author), Zhai, L. (Author), Zhang, X. (Author), Zheng, Q. (Author)
Format: Article
Language:English
Published: MDPI 2022
Subjects:
Attack detection
Baum-Welch
Baum-Welch algorithms
Detection models
Evolutionary algorithms
Hidden markov
Hidden Markov Model
Hidden Markov models
Hidden-Markov models
K-means clustering
Modeling parameters
multi-step attack detection
Multi-step attack detection
Multi-step attacks
Optimization
pre-training
Pre-training
Semantics
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