Intelligent Intrusion Detection System for VANET Using Machine Learning and Deep Learning Approaches

Detecting the attacks in Vehicular Ad hoc Network (VANET) system is very important to provide more secure and reliable communication between all vehicles in the system. In this article, an effective Intelligent Intrusion Detection System (IDS) is proposed using machine learning and deep learning app...

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Bibliographic Details
Published in:	Wireless communications and mobile computing Vol. 2022; no. 1
Main Authors:	Karthiga, B., Durairaj, Danalakshmi, Nawaz, Nishad, Venkatasamy, Thiruppathy Kesavan, Ramasamy, Gopi, Hariharasudan, A.
Format:	Journal Article
Language:	English
Published:	Oxford Hindawi 2022 John Wiley & Sons, Inc
Subjects:	Adaptive systems Algorithms Artificial neural networks Communication Datasets Deep learning Denial of service attacks Digital signatures Fuzzy logic Intrusion detection systems Machine learning Malware Methods Mobile ad hoc networks Modules Neural networks Sensors Soft computing Support vector machines Vehicles
ISSN:	1530-8669, 1530-8677
Online Access:	Get full text
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