Corpus ID: 212539909

Detecting Malicious Facebook Application

@inproceedings{Vaidya2017DetectingMF,
  title={Detecting Malicious Facebook Application},
  author={Ketan N. Vaidya and R. Mr.Rakesh and Hingmire and Mr. Tejas R. Borade and Mr. Rohit V. Patanpallu},
  year={2017}
}

Ketan N. Vaidya, R. Mr.Rakesh, +2 authors Mr. Rohit V. Patanpallu

Published 2017

First, we identify a set of features that help us distinguish malicious apps from benign ones. For example, we find that malicious apps often share names with other apps, and they typically request fewer permissions than benign apps. Second, leveraging these distinguishing features, we show that FRAppE can detect malicious apps with 99.5% accuracy, with no false positives and a high true positive rate (95.9%). Finally, we explore the ecosystem of malicious Facebook apps and identify mechanisms… CONTINUE READING

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