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

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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https://doi.org/10.1038/s41598-025-02729-x

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