Anomaly-based intrusion detection system in the Internet of Things using a convolutional neural network and multi-objective enhanced Capuchin Search Algorithm
Nowadays, the growth and pervasiveness of Internet of Things (IoT) devices have led to increased attacks by hackers and attackers. On the other hand, using IoT infrastructure in various fields has increased the number of node security breaches, attacks, and anomalies. Therefore, detecting anomalies...
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Published in | Journal of parallel and distributed computing Vol. 175; pp. 1 - 21 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
Elsevier Inc
01.05.2023
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Subjects | |
Online Access | Get full text |
ISSN | 0743-7315 1096-0848 |
DOI | 10.1016/j.jpdc.2022.12.009 |
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