Contemporary sequential network attacks prediction using hidden Markov model

Intrusion prediction is a key task for forecasting network intrusions. Intrusion detection systems have been primarily deployed as a first line of defence in a network, however; they often suffer from practical testing and evaluation due to unavailability of rich datasets. This paper evaluates the d...

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Bibliographic Details
Main Authors: Timothy Chadza, Kostas Kyriakopoulos, Sangarapillai Lambotharan
Format: Default Conference proceeding
Published: 2020
Subjects:
Mechanical engineering not elsewhere classified
Intrusion prediction
Hidden Markov model
Baum Welch
Viterbi training
CSE-CIC-IDS2018 dataset
Mechanical Engineering not elsewhere classified
Online Access:https://hdl.handle.net/2134/38322
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https://hdl.handle.net/2134/38322

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