Machine Learning-Powered IDS for Gray Hole Attack Detection in VANETs
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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