Name: Intrusion Detection System based on deep learning (en Inglés)
Price: 80.80 USD
Availability: InStock
Author: Momo Ziazet, Junior
ISBN: 9786205985717

portada Intrusion Detection System based on deep learning (en Inglés)

Intrusion Detection System based on deep learning (en Inglés)

Formato

Libro Físico

Autor

Junior Momo Ziazet

Editorial

Our Knowledge Publishing

Idioma

Inglés

N° páginas

108

Encuadernación

Tapa Blanda

Dimensiones

22.9 x 15.2 x 0.7 cm

Peso

0.17 kg.

ISBN13

9786205985717

Categorías

Tecnología de la información: cuestiones generales

Intrusion Detection System based on deep learning (en Inglés)

Junior Momo Ziazet (Autor) · Our Knowledge Publishing · Tapa Blanda

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Reseña del libro "Intrusion Detection System based on deep learning (en Inglés)"

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.