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A fuzzy logic and game theory based adaptive approach for securing opportunistic networks against black hole attacks.

, , and . Int. J. Commun. Syst., (2018)

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A fuzzy logic and game theory based adaptive approach for securing opportunistic networks against black hole attacks., , and . Int. J. Commun. Syst., (2018)A Machine Learning Approach Using Classifier Cascades for Optimal Routing in Opportunistic Internet of Things Networks., , and . SECON, page 1-9. IEEE, (2019)Fair Clustering Using Antidote Data., , and . AFCR, volume 171 of Proceedings of Machine Learning Research, page 19-39. PMLR, (2021)Incentivizing News Consumption on Social Media Platforms Using Large Language Models and Realistic Bot Accounts., , , , and . CoRR, (2024)Robust Fair Clustering: A Novel Fairness Attack and Defense Framework., , , and . ICLR, OpenReview.net, (2023)On the Robustness of Deep Clustering Models: Adversarial Attacks and Defenses., , and . NeurIPS, (2022)Moving Target Defense against Adversarial Machine Learning., and . MTD@CCS, page 29-30. ACM, (2021)Fair Algorithms for Hierarchical Agglomerative Clustering., and . ICMLA, page 206-211. IEEE, (2022)SEIR: A Stackelberg game based approach for energy-aware and incentivized routing in selfish Opportunistic Networks., , and . CISS, page 1-6. IEEE, (2017)A game theory based secure model against Black hole attacks in Opportunistic Networks., , and . CISS, page 1-6. IEEE, (2017)