Journal
TELECOMMUNICATION SYSTEMS
Volume 66, Issue 3, Pages 417-430Publisher
SPRINGER
DOI: 10.1007/s11235-017-0296-1
Keywords
Android security; Apps collusion; Threat assessment; Bayesian; Statistical modelling
Categories
Funding
- Engineering and Physical Sciences Research Council (EPSRC) of the UK [EP/L022656/1]
- Engineering and Physical Sciences Research Council [EP/R007187/1, EP/L022656/1, EP/N508664/1, EP/K004379/1] Funding Source: researchfish
- EPSRC [EP/R007187/1, EP/L022656/1, EP/K004379/1, EP/N508664/1] Funding Source: UKRI
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App collusion refers to two or more apps working together to achieve a malicious goal that they otherwise would not be able to achieve individually. The permissions based security model of Android does not address this threat as it is rather limited to mitigating risks of individual apps. This paper presents a technique for quantifying the collusion threat, essentially the first step towards assessing the collusion risk. The proposed method is useful in finding the collusion candidate of interest which is critical given the high volume of Android apps available. We present our empirical analysis using a classified corpus of over 29,000 Android apps provided by Intel Security(TM).
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