Work

Development of Hybrid Explainable Artificial Intelligence With Swin Vision Transformer Intrusion Detection for Securing VANETs From Attacks

Year: 2025

Type: article

Source: Transactions on Emerging Telecommunications Technologies

DOI: 10.1002/ett.70280

Authors: Bharathiraja N, M. S. Minu, Richa Vijay, M. Rajalakshmi, Pellakuri Vidyullatha, K. Balamurugan

Institutions: Dayananda Sagar University, SRM Institute of Science and Technology, Indian Institute of Technology Madras, Koneru Lakshmaiah Education Foundation

Language: English

Topic: Vehicular Ad Hoc Networks (VANETs)

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Industry, innovation and infrastructure, Sustainable cities and communities

Open Access status: closed

OpenAlex ID: W4414874933

FWCI: 0.231

Cites: 10

Cited by: 1

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