Analysis of hidden Markov model learning algorithms for the detection and prediction of multi-stage network attacks

Hidden Markov Models have been extensively used for determining computer systems under a Multi-Stage Network Attack (MSA), however, acquisition of optimal model training parameters remains a formidable challenge. This paper critically analyses the detection and prediction accuracy of a wide range of...

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Bibliographic Details
Main Authors: Timothy Chadza, Kostas Kyriakopoulos, Sangarapillai Lambotharan
Format: Default Article
Published: 2020
Subjects:
Hidden Markov model
Multi-stage attacks
Viterbi
Online Access:https://hdl.handle.net/2134/11955036.v1
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https://hdl.handle.net/2134/11955036.v1

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