In-Vehicle Networks Security Using Transfer Learning Approach Against AI-Generated Cyberattacks-Reference-Cited by-同舟云学术

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In-Vehicle Networks Security Using Transfer Learning Approach Against AI-Generated Cyberattacks

Published:2024-06-13 Issue: Volume: Page:1-6
ISSN:
Container-title:2024 35th Irish Signals and Systems Conference (ISSC)
language:
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Author:

Shafique Rahman¹,Rustam Furqan²,Choi Gyu Sang¹,Posa Sarath Kumar³,Jurcut Anca Delia²

Affiliation:

1. Yeungnam University,Department of Information & Communication Engineering,Republic of Korea

2. School of Computer Science, University College Dublin,Dublin 04,Ireland,D04V1W8

3. University of Arkansas at Little Rock,Department of Information Science,Little Rock,AR,USA,72204

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10602774/10602795/10603221.pdf?arnumber=10603221

Reference20 articles.

1. Novel Deep Learning-Enabled LSTM Autoencoder Architecture for Discovering Anomalous Events From Intelligent Transportation Systems

2. Autonomous Vehicles: Sophisticated Attacks, Safety Issues, Challenges, Open Topics, Blockchain, and Future Directions

3. Intrusion Detection System (IDS) and Their Types

4. Investigating the security threats in Vehicular ad hoc Networks (VANETs): Towards security engineering for safer on-road transportation

5. A Comprehensive Survey on Approaches to Intrusion Detection System

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