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Feature Selection Method for Ml/Dl Classification of Network Attacks in Digital Forensics Cover

Feature Selection Method for Ml/Dl Classification of Network Attacks in Digital Forensics

Transport and Telecommunication Journal
Volume 23 (2022): Issue 2 (April 2022)
By: Alexander Grakovski,  Aleksandr Krivchenkov and  Boriss Misnevs  
Open Access
|Apr 2022

Authors

Alexander Grakovski

avg@tsi.lv

Transport and Telecommunication Institute Riga, Latvia

Aleksandr Krivchenkov

aak@tsi.lv

Transport and Telecommunication Institute Riga, Latvia

Boriss Misnevs

bfm@tsi.lv

Transport and Telecommunication Institute Riga, Latvia
DOI: https://doi.org/10.2478/ttj-2022-0011 | Journal eISSN: 1407-6179 | Journal ISSN: 1407-6160
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Language: English
Page range: 131 - 141
Published on: Apr 30, 2022
Published by: Transport and Telecommunication Institute
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
IDS,
anomaly detection,
machine learning,
feature selection,
AHP,
ANN
Related subjects:
Engineering,
Introductions and overviews,
Engineering, other

© 2022 Alexander Grakovski, Aleksandr Krivchenkov, Boriss Misnevs, published by Transport and Telecommunication Institute
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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