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Secure and Reliable Routing in the Internet of Vehicles Network: AODV-RL with BHA Attack Defense.
- Source :
- CMES-Computer Modeling in Engineering & Sciences; 2024, Vol. 139 Issue 1, p633-659, 27p
- Publication Year :
- 2024
-
Abstract
- Wireless technology is transforming the future of transportation through the development of the Internet of Vehicles (IoV). However, intricate security challenges are intertwinedwith technological progress:Vehicular ad hoc Networks (VANETs), a core component of IoV, face security issues, particularly the Black Hole Attack (BHA). This malicious attack disrupts the seamless flow of data and threatens the network's overall reliability; also, BHA strategically disrupts communication pathways by dropping data packets from legitimate nodes altogether. Recognizing the importance of this challenge, we have introduced a new solution called ad hoc On-Demand Distance Vector-Reputation-based mechanism Local Outlier Factor (AODV-RL). The significance of AODVRL lies in its unique approach: it verifies and confirms the trustworthiness of network components, providing robust protection against BHA. An additional safety layer is established by implementing the Local Outlier Factor (LOF), which detects and addresses abnormal network behaviors. Rigorous testing of our solution has revealed its remarkable ability to enhance communication in VANETs. Specifically, Our experimental results achieve message delivery ratios of up to 94.25% andminimal packet loss ratios of just 0.297%. Based on our experimental results, the proposedmechanismsignificantly improves VANET communication reliability and security. These results promise a more secure and dependable future for IoV, capable of transforming transportation safety and efficiency. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 15261492
- Volume :
- 139
- Issue :
- 1
- Database :
- Complementary Index
- Journal :
- CMES-Computer Modeling in Engineering & Sciences
- Publication Type :
- Academic Journal
- Accession number :
- 174700501
- Full Text :
- https://doi.org/10.32604/cmes.2023.031342