A prediction system of Sybil attack in social network using deep-regression model

Author:

Al-Qurishi Muhammad,Alrubaian Majed,Rahman Sk Md MizanurORCID,Alamri Atif,Hassan Mohammad MehediORCID

Funder

King Saud University

Publisher

Elsevier BV

Subject

Computer Networks and Communications,Hardware and Architecture,Software

Reference44 articles.

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2. O. Varol, E. Ferrara, C.A. Davis, F. Menczer, A. Flammini, Online human-bot interactions: Detection, estimation, and characterization, arXiv preprint arXiv:1703.03107, (2017).

3. Sybil defense techniques in online social networks: A survey;Al-Qurishi;IEEE Access,2017

4. S.T. Peddinti, K.W. Ross, J. Cappos, Mining anonymity: Identifying sensitive accounts on Twitter, arXiv preprint arXiv:1702.00164, (2017).

5. Statistical features-based real-time detection of drifted Twitter spam;Chen;IEEE Trans. Inf. Forensics Secur.,2017

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