Intelligent Detection of Black Hole Attacks for Secure Communication in Autonomous and Connected Vehicles
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3034327
Abstract: Detection of Black Hole attacks is one of the most challenging and critical routing security issues in vehicular ad hoc networks (VANETs) and autonomous and connected vehicles (ACVs). Malicious vehicles or nodes may exist in… read more here.
Keywords: black hole; autonomous connected; hole attacks; detection ... See more keywords
Machine Learning-Powered IDS for Gray Hole Attack Detection in VANETs
Sign Up to like & getrecommendations! Published in 2025 at "World Electric Vehicle Journal"
DOI: 10.3390/wevj16090526
Abstract: Vehicular Ad Hoc Networks (VANETs) enable critical communication for Intelligent Transportation Systems (ITS) but are vulnerable to cybersecurity threats, such as Gray Hole attacks, where malicious nodes selectively drop packets, compromising network integrity. Traditional detection… read more here.
Keywords: detection; hole attacks; gray hole; random forest ... See more keywords