Enhanced Machine Learning Based Techniques for Security in Vehicular Ad-Hoc Networks
Author:
Affiliation:
1. Dept of Computer Science and Engineering, H. K.E. Society’s S.L.N College of Engineering,Raichur
2. Dept of Computer Science and Engineering, PDA College of Engineering,Kalaburagi
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10141668/10141583/10141791.pdf?arnumber=10141791
Reference46 articles.
1. Vehicular ad-hoc network (VANET): Review
2. Detecting Sybil Attack in Vehicular Ad-hoc Networks (Vanets) by Using Fitness Function, Signal Strength Index and Throughput
3. An autonomous lightweight conditional privacy-preserving authentication scheme with provable security for vehicular ad-hoc networks
4. A Comprehensive Review of Authentication Schemes in Vehicular Ad-Hoc Network
5. Authentication and privacy schemes for vehicular ad hoc networks (VANETs): A survey
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3. WASCO Routing Protocol: Enhancing Security in Vehicular Adhoc Networks (VANETs) using Weighted Average Sandpiper Coot Optimal Approach;2024 4th International Conference on Innovative Practices in Technology and Management (ICIPTM);2024-02-21
4. Evaluating multidimensional RSSI-based approaches for identifying Sybil nodes in VANETs to improve vehicle network security;International Journal of Ad Hoc and Ubiquitous Computing;2024
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