Artificial Intelligence-based intrusion detection system for V2V communication in vehicular adhoc networks

Artificial Intelligence-based intrusion detection system for V2V communication in vehicular adhoc networks

Vehicular Adhoc Networks (VANETs) enable vehicle-infrastructure communication, enhancing Intelligent Transportation Systems (ITS). Vehicles interconnect wirelessly to share information. Still, this communication is vulnerable to various attacks, particularly in Vehicle-to-Vehicle (V2V) scenarios. Th...

Full description

Bibliographic Details
Main Authors: Abizar Khalil, Haleem Farman, Moustafa M. Nasralla, Bilal Jan, Jamil Ahmad
Format: Article
Language:English
Published: Elsevier 2024-04-01
Series:Ain Shams Engineering Journal
Subjects:
Edge node
Privacy
Intrusion detection
BiGAN
NSL-KDD
Online Access:http://www.sciencedirect.com/science/article/pii/S2090447923005051

Internet

http://www.sciencedirect.com/science/article/pii/S2090447923005051

Similar Items