文章基本信息

标题：Comprehensive Analysis of Two Malicious Arabic-Language Twitter Campaigns
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作者：Reem Alharthi ; Areej Alhothali ; Kawthar Moria 等
期刊名称：International Journal of Advanced Computer Science and Applications(IJACSA)
印刷版ISSN：2158-107X
电子版ISSN：2156-5570
出版年度：2021
卷号：12
期号：4
页码：760-771
DOI：10.14569/IJACSA.2021.0120493
出版社：Science and Information Society (SAI)
摘要：Fake malicious accounts are one of the primary causes of the deterioration of social network content quality. Numerous such accounts are generated by attackers to achieve multiple nefarious goals, including phishing, spamming, spoof- ing, and promotion. These practices pose significant challenges regarding the availability of credible data that reflect real- world social media interactions. This has led to the development of various methods and approaches to combat spammers on social media networks. Previous studies, however, have almost exclusively focused on studying and identifying English-language spam profiles, whereas the problem of malicious Arabic-language accounts remains under-addressed in the literature. In this paper, therefore, we conduct a comprehensive investigation of malicious Arabic-language campaigns on Twitter. The study involves analyzing the accounts of these campaigns from several perspectives, including their number, content, social interaction graphs, lifespans, and day-to-day activities. In addition to expos- ing their spamming tactics, we find that these spam accounts are more successful in avoiding Twitter suspensions that has been previously reported in the literature.
关键词：Social network security; social spammers; arab twitter users; malicious campaigns on twitter; data mining