Cooperative based tit-for-tat strategies to retaliate against greedy behavior in VANETs

Author:

Al-Terri Doaa,Otrok Hadi,Barada Hassan,Al-Qutayri Mahmoud,Al Hammadi Yousof

Publisher

Elsevier BV

Subject

Computer Networks and Communications

Reference38 articles.

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3. Qos-olsr protocol based on intelligent water drop for vehicular ad-hoc networks;Al-Terri,2015

4. Djavan: detecting jamming attacks in vehicle ad hoc networks;Mokdad;Perform. Eval.,2015

5. Real-time detection of selfish behavior in ieee 802.11 wireless networks;Tang,2010

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1. A Fuzzy-Based Greedy Behaviour Attack Detection Approach in VANETs;SN Computer Science;2024-08-27

2. A Reinforcement Learning Based Incentive Scheme for Multi-Hop Communications in Vehicular Networks;IEEE Transactions on Cognitive Communications and Networking;2023

3. EMS: Efficient Monitoring System to Detect Non-Cooperative Nodes in IoT-Based Vehicular Delay Tolerant Networks (VDTNs);Sensors;2022-12-22

4. The limitations of unsupervised machine learning for identifying malicious nodes in IoT networks;GLOBECOM 2022 - 2022 IEEE Global Communications Conference;2022-12-04

5. Impact Analysis of Greedy Behavior Attacks in Vehicular Ad hoc Networks;2021 10th IFIP International Conference on Performance Evaluation and Modeling in Wireless and Wired Networks (PEMWN);2021-11-23

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