Projects per year
We introduce a machine learning-based approach to identify critical discrepancies between developer-described app behavior and permission usage. By combining state-of-the-art techniques in natural language processing (NLP) and deep learning, we design a convolutional neural network (CNN) for text classification that captures the relevance of words and phrases in app descriptions in relation to the usage of dangerous permissions. Our system predicts the likelihood that an app requires certain permissions and can warn about descriptions in which the requested access to sensitive user data and system features is textually not represented.
We evaluate our solution on 77,000 real-world app descriptions and find that we can identify individual groups of dangerous permissions with a precision between 71% and 93%. To highlight the impact of individual words and phrases, we employ a model explanation algorithm and demonstrate that our technique can successfully bridge the semantic gap between described app functionality and its access to security- and privacy-sensitive resources.
|Title of host publication||CODASPY 2020 - Proceedings of the 10th ACM Conference on Data and Application Security and Privacy|
|Place of Publication||New York|
|Publisher||Association of Computing Machinery|
|Number of pages||12|
|Publication status||Published - 16 Mar 2020|
|Event||10th ACM Conference on Data and Application Security and Privacy - New Orleans, United States|
Duration: 16 Mar 2020 → 18 Mar 2020
Conference number: 20
|Name||CODASPY 2020 - Proceedings of the 10th ACM Conference on Data and Application Security and Privacy|
|Conference||10th ACM Conference on Data and Application Security and Privacy|
|Period||16/03/20 → 18/03/20|
- Machine Learning
- machine learning
ASJC Scopus subject areas
- Computer Science Applications
Stranacher, K., Dominikus, S., Leitold, H., Marsalek, A., Teufl, P., Bauer, W., Aigner, M. J., Rössler, T., Neuherz, E., Dietrich, K., Zefferer, T., Mangard, S., Payer, U., Orthacker, C., Lipp, P., Reiter, A., Knall, T., Bratko, H., Bonato, M., Suzic, B., Zwattendorfer, B., Kreuzhuber, S., Oswald, M. E., Tauber, A., Posch, R., Bratko, D., Feichtner, J., Ivkovic, M., Reimair, F., Wolkerstorfer, J. & Scheibelhofer, K.
21/05/99 → 6/08/20
Project: Research area