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Discovering hidden suspicious accounts in online social networks

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User behavior-based and graph-based hybrid approach for detection of Sybil Attack in online social networks

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Identifying Fake Profile in Online Social Network: An Overview and Survey

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Detecting Malicious Accounts in Online Developer Communities Using Deep Learning

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Towards fast and lightweight spam account detection in mobile social networks through fog computing

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Measuring and mitigating oauth access token abuse by collusion networks

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Beyond Text: Multimodal Credibility Assessment Approaches for Online User-Generated Content

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Friendship Preference: Scalable and Robust Category of Features for Social Bot Detection

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CGNN: A Compatibility-Aware Graph Neural Network for Social Media Bot Detection

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LOBO -- Evaluation of Generalization Deficiencies in Twitter Bot ClassifiersPreprint

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Sybil Detection in Social-Activity Networks: Modeling, Algorithms and Evaluations

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Posting Bot Detection on Blockchain-based Social Media Platform using Machine Learning Techniques

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Characterizing and Detecting Malicious Accounts in Privacy-Centric Mobile Social Networks

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Collective Classification of Spam Campaigners on Twitter: A Hierarchical Meta-Path Based ApproachPreprint

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Enhancing Sybil Detection via Social-Activity Networks: A Random Walk Approach

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SybilHunter: Hybrid graph-based sybil detection by aggregating user behaviors

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Accou2vec: A Social Bot Detection Model Based on Community Walk

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TrustGCN: Enabling Graph Convolutional Network for Robust Sybil Detection in OSNs

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Application of interval type-2 fuzzy logic and type-1 fuzzy logic-based approaches to social networks for spam detection with combined feature capabilities

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Detecting Malicious Accounts in Online Developer Communities Using Deep Learning

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Him of Many Faces: Characterizing Billion-scale Adversarial and Benign Browser Fingerprints on Commercial Websites

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Detecting Fake Accounts on Social Media Portals—The X Portal Case Study

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Demystifying the underground ecosystem of account registration bots

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Twitter bot detection and their influence in hashtag manipulation

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The Strong Link Graph for Enhancing Sybil Defenses

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TweetScore

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Misinformation Detection and Adversarial Attack Cost Analysis in Directional Social Networks

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Thank You For Being A Friend: An Attacker View on Online-Social-Network-Based Sybil Defenses

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Pseudo-Honeypot: Toward Efficient and Scalable Spam Sniffer

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Distributed and scalable Sybil identification based on nearest neighbour approximation using big data analysis techniques

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Attacking Graph-based Classification via Manipulating the Graph StructurePreprint

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A hybrid framework for bot detection on twitter: Fusing digital DNA with BERT

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QuickSquad: A new single-machine graph computing framework for detecting fake accounts in large-scale social networks

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Buzzer Detection to Maintain Information Neutrality in 2019 Indonesia Presidential Election

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Preemptive Detection of Fake Accounts on Social Networks via Multi-Class Preferential Attachment Classifiers

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POISED: Spotting Twitter Spam Off the Beaten PathsPreprint

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Attacking Graph-Based Classification without Changing Existing Connections

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Trollslayer: Crowdsourcing and Characterization of Abusive Birds in Twitter

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Detecting fake accounts through Generative adversarial network in online social mediaPreprint

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Understanding a prospective approach to designing malicious social bots

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Graph Based Local Risk Estimation in Large Scale Online Social Networks

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Sybil Detection as Graph Filtering

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The Social Relation Key: A new paradigm for security

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Measurement and Early Detection of Third-Party Application Abuse on Twitter

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To Err.Is Human: Characterizing the Threat of Unintended URLs in Social Media

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An Early Warning System for Suspicious Accounts

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Detection and Prevention of Abuse in Online Social Networks

Talukder, S. K. (2019) · doi:10.25148/etd.fidc007657 · Cited by 5 · see citing works

An Enhanced Scammer Detection Model for Online Social Network Frauds Using Machine Learning

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New frontiers in cognitive content curation and moderation

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Measuring and mitigating OAuth access token abuse by collusion networks

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Risk analysis in facebook based on user anomalous behaviors

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An Analysis of Graph Properties for Detecting Sybil Nodes in Social Networks

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Spam Classification Based on Signed Network Analysis

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Enabling Fraud Prediction on Preliminary Data Through Information Density Booster

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Deeply understanding graph-based Sybil detection techniques via empirical analysis on graph processing

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Combating Fraud in Online Social Networks: Detecting Stealthy Facebook Like FarmsPreprint

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Measuring, Characterizing, and Detecting Facebook Like FarmsPreprint

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An Approximately Optimal Bot for Non-Submodular Social Reconnaissance

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Íntegro: Leveraging victim prediction for robust fake account detection in large scale OSNs

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OVM-OSN: an optimal validation model applied to detection of fake accounts on online social networks

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Identifying Fake Profile in Online Social Network: An Overview and Survey

Joshi, S., Nagariya, H. G., Dhanotiya, N., & Jain, S. (2020) · Communications in computer and information science · doi:10.1007/978-981-15-6315-7_2 · Cited by 24 · see citing works

Machine Learning for Detecting Fake Accounts in OSNs: A Review

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