Socialbots: Impacts, Threat-Dimensions, and Defense Challenges

作者：Muhammad Abulaish, Mohd Fazil · 发表于：IEEE Technology and Society Magazine · 年份：2020 · DOI：10.1109/mts.2020.3012327 · 被引用次数：12 · 研究领域：Advanced Malware Detection Techniques、Spam and Phishing Detection、Misinformation and Its Impacts

Online Social Networks (OSNs) are the modern communication media at the peak of Internet technology that facilitate users' ability to connect with friends and celebrities, and to disseminate breaking news and updates on real-life events. Connections and interactions among OSN users generate a massive amount of data containing a rich collection of knowledge that could be useful to various realworld data modeling and predictive analytics problems like open-source intelligence, business intelligence, event prediction, and product recommendations. On the Web, adversaries explore and target products and services for misuse and vulnerabilities, and OSNs are no exception. Their large user base, easy-to-use functionality, and open nature further attract antisocial elements to these OSNs. In OSNs, cybercrimes and illicit activities are generally committed using various forms of fake profiles, such as clone profiles,1sybil,2and bots.