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Predicting vulnerable classes in an Android application (2012)
| Content Provider | CiteSeerX |
|---|---|
| Author | Scandariato, Riccardo Walden, James |
| Description | 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 down-loads. Therefore, there is a large base of users that is at-tractive 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 pre-dict which classes of an Android application are vulnerable. This paper approaches an answer to these questions by an-alyzing one very popular application of the Android Market and developing a vulnerability prediction model with high accuracy (over 80%) and precision (over 75%). |
| File Format | |
| Language | English |
| Publisher Date | 2012-01-01 |
| Publisher Institution | Proc. of the 4th international workshop on security measurements and metrics |
| Access Restriction | Open |
| Subject Keyword | Vulnerability Prediction Model Several Year Large Base Vulnerable Class Mobile Application Android Application Android Platform Smart Phone Smart Phone Market Android Operating System Popular Application Google Play Store Android Market High Accuracy Billion Application Down-loads |
| Content Type | Text |
| Resource Type | Article |
