Detection and isolation of Black Hole in VANET
Author:
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/8337463/8342520/08342799.pdf?arnumber=8342799
Cited by 14 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Malicious Node Detection in VANETs via Enhanced DSR and ML;2024 International Conference on Wireless Communications Signal Processing and Networking (WiSPNET);2024-03-21
2. Machine learning and blockchain technologies for cybersecurity in connected vehicles;WIREs Data Mining and Knowledge Discovery;2023-09-19
3. An Efficient Approach for the Detection and Prevention of Gray-Hole Attacks in VANETs;IEEE Access;2023
4. FATS (Fuzzy Authentication to Provide Trust-Based Security) in VANET to Mitigate Black Hole Attack;Internet of Things;2023
5. Multi-BSM: An Anomaly Detection and Position Falsification Attack Mitigation Approach in Connected Vehicles;Electronics;2022-10-12
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