Intrusion Detection System based on deep learning - Softcover

Momo Ziazet, Junior

 
9786205985717: Intrusion Detection System based on deep learning
Softcover
ISBN 10: 6205985713 ISBN 13: 9786205985717
Verlag: Our Knowledge Publishing, 2023

Inhaltsangabe

This work focuses on the development of a new approach based on deep learning to implement an efficient and flexible intrusion detection system using the behavioral approach and mainly intended for critical infrastructures and industrial control systems. Based on the assumption that modeling the normal network behavior of industrial control systems is feasible and reliable, because the operations performed in these systems are quite stationary and repetitive, Convolutional Neural Networks (CNN), a deep learning technique, are used on the NSL-KDD dataset, a reference dataset used for the implementation of intrusion detection systems. The performance of the approach is presented and compared to some previous works. The metrics used include the percentage of correct classification, accuracy and false positives show that the proposed approach improves the performance of previous systems.

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Über die Autorin bzw. den Autor

Junior Momo Ziazet, Design Engineer in Telecommunications and ICT from the Faculty of Industrial Engineering of the University of Douala in Cameroon. Passionate about digital and artificial intelligence. Currently an instructor at the Faculty of Industrial Engineering of the University of Douala.

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Verlag
Our Knowledge Publishing
Erscheinungsdatum
2023
Sprache
Englisch
ISBN 10 
6205985713
ISBN 13 
9786205985717
Einband
Taschenbuch
Anzahl der Seiten
108
Kontakt zum Hersteller
Nicht verfügbar
Verantwortliche Person
preigu
mail@preigu.de

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