A novel model for Sybil attack detection in online social network using optimal three-stream double attention network
Author:
Publisher
Springer Science and Business Media LLC
Subject
Hardware and Architecture,Information Systems,Theoretical Computer Science,Software
Link
https://link.springer.com/content/pdf/10.1007/s11227-023-05677-3.pdf
Reference46 articles.
1. Al-Qurishi M, Alrubaian M, Rahman SMM, Alamri A, Hassan MM (2018) A prediction system of Sybil attack in social network using deep-regression model. Futur Gener Comput Syst 87:743–753
2. Al-Qurishi M, Al-Rakhami M, Alamri A, Alrubaian M, Rahman SMM, Hossain MS (2017) Sybil defense techniques in online social networks: a survey. IEEE Access 5:1200–1219
3. Jethava G, Rao UP (2022) A novel defense mechanism to protect users from profile cloning attack on online social networks (OSNS). Peer-to-Peer Netw Appl 15(5):2253–2269
4. Dasondi H, Patel MB, Parikh SM (2022) A proposed blockchain-based model for online social network to detect suspicious accounts. In: IOT with Smart Systems: Proceedings of ICTIS 2022. Springer, Singapore, vol 2, pp 437–445
5. Qu Z, Lyu C, Chi CH (2022) Mush: multi-stimuli Hawkes process based Sybil attacker detector for user-review social networks. IEEE Trans Netw Serv Manag
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