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  • 标题:Detection of Malicious Users in Facebook Applications Using Frappe
  • 本地全文:下载
  • 作者:S.Sreekanth ; G.Sravya ; K.Soujanya Sravya
  • 期刊名称:International Journal of Innovative Research in Computer and Communication Engineering
  • 印刷版ISSN:2320-9798
  • 电子版ISSN:2320-9801
  • 出版年度:2017
  • 卷号:5
  • 期号:3
  • 页码:5098
  • DOI:10.15680/IJIRCCE.2017.0503264
  • 出版社:S&S Publications
  • 摘要:Nowadays, Facebook applications are being used by massive users because these can be considered asone of the reasons for Facebook attractiveness. They enable the users to experience various online social networks andenhance them to use these applications. Users may also find it interesting to communicate with other people and playonline games. But unfortunately, they could not differentiate between good applications and malicious applications.With 20 million installs a day, the hackers have found a way to spread malware and spam through these apps. In thispaper, our major aim is surveying and developing FRAppE-Facebook’s rigorous Application Evaluator, a tool which isused for detecting malicious Facebook applications, thus helping a user to detect malicious apps with 99% accuracy.There are about 2.2 million people using facebook, so in order to develop FRAppE, we need to gather information byobserving the posting behavior of approximately 111K Facebook apps. Firstly we identify features that are used todifferentiate malicious and benign apps and then identify the mechanisms that these apps used to propagate. It isfascinating that many of these apps collude and assist each other. In this we find 1584 apps enable the viral propagationof 3723 other apps through posts. In a long term, we see FRAppE as an step to warn users before installing any apps.
  • 关键词:Facebookapps; malicious; spam; FRAppE
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