Harsha Kumara Kalutarage
Towards a threat assessment framework for apps collusion.
Kalutarage, Harsha Kumara; Nguyen, Hoang Nga; Shaikh, Siraj Ahmed
Hoang Nga Nguyen
Siraj Ahmed Shaikh
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 SecurityTM.
|Journal Article Type||Article|
|Publication Date||Nov 30, 2017|
|Peer Reviewed||Peer Reviewed|
|Institution Citation||KALUTARAGE, H.K., NGUYEN, H.N. and SHAIKH, S.A. 2017. Towards a threat assessment framework for apps collusion. Telecommunication systems [online], 66(3), pages 417-430. Available from: https://doi.org/10.1007/s11235-017-0296-1|
|Keywords||Android security; Apps collusion; Threat assessment; Bayesian; Statistical modelling|
KALUTARAGE 2017 Towards a threat
You might also like
Reducing computational cost in IoT cyber security: case study of artificial immune system algorithm.
Context-aware anomaly detector for monitoring cyber attacks on automotive CAN bus.
Anomaly detection in network traffic using dynamic graph mining with a sparse autoencoder.
Feature trade-off analysis for reconnaissance detection.