Towards Automated Android App Collusion Detection

Irina Mariuca Asavoae; Jorge Blasco; Thomas M. Chen; Harsha Kumara Kalutarage; Igor Muttik; Hoang Nga Nguyen; Markus Roggenbach; Siraj Ahmed Shaikh

Towards Automated Android App Collusion Detection

Irina Mariuca Asavoae, Jorge Blasco, Thomas M. Chen, Harsha Kumara Kalutarage, Igor Muttik, Hoang Nga Nguyen, Markus Roggenbach^*, Siraj Ahmed Shaikh

^*Corresponding author for this work

School of Electronics, Electrical Engineering and Computer Science

Research output: Contribution to journal › Article › peer-review

4 Citations (Scopus)

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Abstract

Android OS supports multiple communication methods between apps. This opens the possibility to carry out threats in a collaborative fashion, c.f. the Soundcomber example from 2011. In this paper we provide a concise definition of collusion and report on a number of automated detection approaches, developed in co-operation with Intel Security.

Original language	English
Pages (from-to)	29-37
Number of pages	9
Journal	CEUR Workshop Proceedings
Volume	1575
Publication status	Published - 2016
Event	1st International Workshop on Innovations in Mobile Privacy and Security, IMPS 2016 - London, United Kingdom Duration: 06 Apr 2016 → …

ASJC Scopus subject areas

General Computer Science

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Towards Automated Android App Collusion Detection
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Cite this

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abstract = "Android OS supports multiple communication methods between apps. This opens the possibility to carry out threats in a collaborative fashion, c.f. the Soundcomber example from 2011. In this paper we provide a concise definition of collusion and report on a number of automated detection approaches, developed in co-operation with Intel Security.",

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AU - Asavoae, Irina Mariuca

AU - Blasco, Jorge

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AU - Muttik, Igor

AU - Nguyen, Hoang Nga

AU - Roggenbach, Markus

AU - Shaikh, Siraj Ahmed

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Towards Automated Android App Collusion Detection

Abstract

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