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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محفوظ في:

التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Shamim Younas (17541936) (author)
مؤلفون آخرون:	Faisal Rehman (5664848) (author), Tahir Maqsood (17541939) (author), Saad Mustafa (9421664) (author), Adnan Akhunzada (3134064) (author), Abdullah Gani (3134076) (author)
منشور في:	2022
الموضوعات:	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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Collaborative Detection of Black Hole and Gray Hole Attacks for Secure Data Communication in VANETs

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