Collaborative Detection of Black Hole and Gray Hole Attacks for Secure Data Communication in VANETs

Collaborative Detection of Black Hole and Gray Hole Attacks for Secure Data Communication in VANETs

<p dir="ltr">Vehicle ad hoc networks (VANETs) are vital towards the success and comfort of self-driving as well as semi-automobile vehicles. Such vehicles rely heavily on data management and the exchange of Cooperative Awareness Messages (CAMs) for external communication with the env...

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Bibliographic Details
Main Author: Shamim Younas (17541936) (author)
Other Authors: Faisal Rehman (5664848) (author), Tahir Maqsood (17541939) (author), Saad Mustafa (9421664) (author), Adnan Akhunzada (3134064) (author), Abdullah Gani (3134076) (author)
Published: 2022
Subjects:
Engineering
Automotive engineering
Control engineering, mechatronics and robotics
Information and computing sciences
Cybersecurity and privacy
Data management and data science
Distributed computing and systems software
vehicle ad hoc networks (VANETs)
black hole
Gray Hole
linear regression (LR)
linear discriminant analysis (LDA)
support vector machine (SVM)
naïve Bayes (NB)
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