Optimized Attention Induced Multi Head Convolutional Neural Network for Intrusion Detection Systems in Vehicular Ad Hoc Networks

Vehicular Ad Hoc Networks (VANETs) is enhancing comfort and traffic control and have brought about a paradigm shift in the design of contemporary transportation systems. However, as smart sensing technologies become more widely used with the advent of the Internet of Things (IoT), intruders have fou...

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Vydané v:	IEEE transactions on intelligent transportation systems Ročník 26; číslo 8; s. 11957 - 11966
Hlavní autori:	Gupta, Nishu, Malladi, Ravishankar, Naganjaneyulu, Satuluri, Balhara, Surjeet
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	IEEE 01.08.2025
Predmet:	Accuracy Adaptation models Anomaly detection capuchin search optimization algorithm Classification algorithms Convolutional neural network Convolutional neural networks Intrusion detection intrusion detection system machine learning Optimization Real-time systems Security sensor networks Vehicular ad hoc networks
ISSN:	1524-9050, 1558-0016
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