Towards Automated Android App Collusion Detection

I. M. As˘avoae, J. Blasco, T. M. Chen, H. K. Kalutarage, I. Muttik, Hoang Nga Nguyen, M. Roggenbach, Siraj Shaikh

Research output: Contribution to conferencePaper

4 Citations (Scopus)
33 Downloads (Pure)

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 defi- nition of collusion and report on a number of automated detection approaches, developed in co-operation with Intel Security.
Original languageEnglish
Pages29-37
Publication statusPublished - 2016
EventInternational Workshop on Innovations in Mobile Privacy and Security - London, United Kingdom
Duration: 6 Apr 20166 Apr 2016

Workshop

WorkshopInternational Workshop on Innovations in Mobile Privacy and Security
CountryUnited Kingdom
CityLondon
Period6/04/166/04/16

Bibliographical note

The full text is also available from: http://ceur-ws.org/Vol-1575/paper_3.pdf

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  • Cite this

    As˘avoae, I. M., Blasco, J., Chen, T. M., Kalutarage, H. K., Muttik, I., Nguyen, H. N., ... Shaikh, S. (2016). Towards Automated Android App Collusion Detection. 29-37. Paper presented at International Workshop on Innovations in Mobile Privacy and Security, London, United Kingdom.