International Journal of Innovative Research in Computer and Communication Engineering
ISSN Approved Journal | Impact factor: 8.771 | ESTD: 2013 | Follows UGC CARE Journal Norms and Guidelines
| Monthly, Peer-Reviewed, Refereed, Scholarly, Multidisciplinary and Open Access Journal | High Impact Factor 8.771 (Calculated by Google Scholar and Semantic Scholar | AI-Powered Research Tool | Indexing in all Major Database & Metadata, Citation Generator | Digital Object Identifier (DOI) |
| TITLE | Detection and Mitigation of Fake Online Profiles using Domain and Content Analysis |
|---|---|
| ABSTRACT | Online social platforms are increasingly plagued by fake profiles — ranging from simple spambots and coordinated Sybil accounts to sophisticated AI-generated personas — which distort discourse, amplify misinformation, and facilitate fraud. This paper proposes a hybrid detection and mitigation framework that fuses domain (network/topology and account metadata) and content (textual, multimedia, and behavioral) analysis to detect fake profiles at scale. The proposed system combines graph-based algorithms for community / Sybil detection with content classifiers (transformer-based language models), anomaly detectors, and ensemble decision fusion to produce high-confidence labels and automated mitigation actions (flagging, quarantine, automated reporting, and rate-limiting). We detail system architecture, algorithmic design, modules and technology stack, and provide expected outcomes and evaluation criteria. The design aims to be robust to adversarial adaptation by using multi-view features, continual retraining, and human-in-the-loop review. |
| AUTHOR | THANGE PRATIKSHA BALASAHEB, PROF. ASHVINI JADHAV M.Tech, Dept. of Information Technology (Cyber security), MIT Art, Design & Technology University, Pune, India Assistant Professor, Dept. of Information Technology (Cyber security), MIT Art, Design & Technology University, Pune, India |
| VOLUME | 180 |
| DOI | DOI: 10.15680/IJIRCCE.2026.1401065 |
| pdf/65_Detection and Mitigation of Fake Online Profiles using Domain and Content Analysis.pdf | |
| KEYWORDS | |
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