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Socialbots: Impacts, Threat-Dimensions, and Defense Challenges
IEEE Technology and Society Magazine ( IF 2.1 ) Pub Date : 2020-09-01 , DOI: 10.1109/mts.2020.3012327
Muhammad Abulaish , Mohd Fazil

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,1 sybil,2 and bots.

中文翻译:

社交机器人:影响、威胁维度和防御挑战

在线社交网络 (OSN) 是处于互联网技术巅峰的现代通信媒体,可帮助用户与朋友和名人联系,并传播突发新闻和现实生活事件的最新消息。OSN 用户之间的连接和交互会生成大量数据,其中包含丰富的知识集合,这些数据可能对各种现实世界的数据建模和预测分析问题(如开源智能、商业智能、事件预测和产品推荐)有用。在 Web 上,攻击者会探索并针对滥用和漏洞的产品和服务,OSN 也不例外。它们庞大的用户群、易于使用的功能和开放性进一步吸引了这些 OSN 的反社会元素。在 OSN 中,
更新日期:2020-09-01
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