Publication Type

Conference Proceeding Article

Publication Date

7-2017

Abstract

To devise efficient approaches and tools for detecting malicious packages in the Android ecosystem, researchers are increasingly required to have a deep understanding of malware. There is thus a need to provide a framework for dissecting malware and locating malicious program fragments within app code in order to build a comprehensive dataset of malicious samples. Towards addressing this need, we propose in this work a tool-based approach called HookRanker, which provides ranked lists of potentially malicious packages based on the way malware behaviour code is triggered. With experiments on a ground truth set of piggybacked apps, we are able to automatically locate the malicious packages from piggybacked Android apps with an accuracy of 83.6% in verifying the top five reported items.

Discipline

Information Security | Software Engineering

Research Areas

Cybersecurity

Publication

Proceedings - 2017 IEEE/ACM: 4th IEEE/ACM International Conference on Mobile Software Engineering and Systems, Buenos Aires, Argentina, 2017 May 22-23

Identifier

10.1109/MOBILESoft.2017.6

Publisher

ACM

City or Country

Buenos Aires, Argentina;

Creative Commons License

Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.

Additional URL

http://doi.org./10.1109/MOBILESoft.2017.6

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