Deep Learning: Deep Learning Approaches for Intrusion Detection and Attack Severity Classification in IOT Network - Couverture souple

Madhu, Bhukya; Venu Gopalachari, M

 
9786205527962: Deep Learning: Deep Learning Approaches for Intrusion Detection and Attack Severity Classification in IOT Network
Couverture souple
ISBN 10 : 6205527960 ISBN 13 : 9786205527962
Editeur : LAP LAMBERT Academic Publishing, 2022

Synopsis

The Internet of things (IoT) has gained more attention in recent years because of its ubiquitous operations, connectivity, methods of communication, and intelligent decisions to evoke activities from various devices. Therefore, artificial intelligence techniques have been integrated into all aspects of the Internet of Things and making life more comfortable in various ways. A novel deep learning model named Device-based Intrusion Detection System (DIDS) was proposed in the second phase. This DIDS learning model incorporates the prediction of unknown attacks to handle the computational overhead in large networks and increase the throughput with a low false alarm rate. Our proposed algorithm has been evaluated with standard algorithms, and the results show that it detects attacks earlier than standard algorithms. The computational time has also been reduced, and 99% of accuracy has been achieved in detecting the attacks.

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Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2022
Langue
anglais
ISBN 10 
6205527960
ISBN 13 
9786205527962
Reliure
Broché
Nombre de pages
168
Coordonnées du fabricant
non disponible
Personne responsable
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