Bi directional sparse attention recurrent autoencoder based intrusion detection for VANET security with tuna swarm optimization

Abstract Vehicular Ad-hoc Networks (VANETs) have garnered a lot of consideration and research in last decades. By enhancing safety and comfort, VANETs are essential to the development of self-driving and semi-self-driving cars. Security risks that are specific to VANET or that are observed in ad hoc...

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Bibliographic Details
Main Authors:	R. Gopi, V. Thiruppathy Kesavan, Md. Jakir Hossen, Nor Hidayati Binti Abdul Aziz
Format:	Article
Language:	English
Published:	Nature Portfolio 2025-05-01
Series:	Scientific Reports
Subjects:	Vehicular Ad-hoc networks Anomaly detection Intrusion detection system Bidirectional long short term memory networks Auto encoder Tuna swarm optimization
Online Access:	https://doi.org/10.1038/s41598-025-02729-x
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Bi directional sparse attention recurrent autoencoder based intrusion detection for VANET security with tuna swarm optimization

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