An Efficient Approach for the Detection and Prevention of Gray-Hole Attacks in VANETs-Reference-Cited by-同舟云学术

An Efficient Approach for the Detection and Prevention of Gray-Hole Attacks in VANETs

Published:2023 Issue: Volume:11 Page:46691-46706
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Malik Abdul¹,Khan Muhammad Zahid¹^ORCID,Qaisar Saeed Mian²^ORCID,Faisal Mohammad¹^ORCID,Mehmood Gulzar³^ORCID

Affiliation:

1. Department of Computer Science and Information Technology, Network Systems and Security Research Group, University of Malakand, Chakdara, Khyber Pakhtunkhwa, Pakistan

2. Department of Electrical and Computer Engineering, Effat University, Jeddah, Saudi Arabia

3. Department of Computer Science, Iqra National University, Swat Campus, Swat, Pakistan

Funder

Effat University, Jeddah, Saudi Arabia

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10121754.pdf?arnumber=10121754

Reference41 articles.

1. Detection and isolation of Black Hole in VANET

2. Dual Security Against Grayhole Attack in MANETs

3. Intelligent Detection of Black Hole Attacks for Secure Communication in Autonomous and Connected Vehicles

4. Predicting the Route of the Longest Lifetime and the Data Packet Delivery Time between Two Vehicles in VANET

5. Prevention of selective black hole attacks on mobile ad hoc networks through intrusion detection systems

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