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Predicting vulnerable classes in an android application
Publikationstyp
Conference Paper
Date Issued
2012-09
Sprache
English
Author(s)
Start Page
11
End Page
16
Citation
Proceedings of the 4th international workshop on Security measurements and metrics: 11-16 (2012-10-22)
Contribution to Conference
Publisher DOI
Scopus ID
Publisher
ACM
Smart phones have been outselling PCs for several years. The Android operating system dominates the smart phone market, and the Android Market (now Google Play Store) recently passed the mark of 15 billions application downloads. Therefore, there is a large base of users that is attractive for hackers to target. In this paper, we will examine the questions of whether mobile applications developed for the Android platform are vulnerable or not, and how to predict which classes of an Android application are vulnerable. This paper approaches an answer to these questions by analyzing one very popular application of the Android Market and developing a vulnerability prediction model with high accuracy (over 80%) and precision (over 75%).
Subjects
Android
Metrics
Mobile application security
Static analysis
DDC Class
004: Informatik