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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Vydané v:	Wireless communications and mobile computing Ročník 2022; číslo 1
Hlavní autori:	Karthiga, B., Durairaj, Danalakshmi, Nawaz, Nishad, Venkatasamy, Thiruppathy Kesavan, Ramasamy, Gopi, Hariharasudan, A.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Oxford Hindawi 2022 John Wiley & Sons, Inc
Predmet:	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
On-line prístup:	Získať plný text
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