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Explaining Unwanted Behaviours in Context

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Original languageEnglish
Title of host publicationProceedings of the 1st International Workshop on Innovations in Mobile Privacy and Security co-located with the International Symposium on Engineering Secure Software and Systems (ESSoS 2016)
PublisherCEUR-WS.org
Pages38-45
Number of pages8
Publication statusPublished - 6 Apr 2016
Event1st International Workshop on Innovations in Mobile Privacy and Security co-located with the International Symposium on Engineering Secure Software and Systems - London, United Kingdom
Duration: 6 Apr 20166 Apr 2016
http://ceur-ws.org/Vol-1575/

Conference

Conference1st International Workshop on Innovations in Mobile Privacy and Security co-located with the International Symposium on Engineering Secure Software and Systems
Abbreviated titleIMPS 2016
CountryUnited Kingdom
CityLondon
Period6/04/166/04/16
Internet address

Abstract

Mobile malware has been increasingly identified based on unwanted behaviours like sending premium SMS messages. However, unwanted behaviours for a group of apps can be normal for another, i.e., they are context sensitive. We develop an approach to automatically explain unwanted behaviours in context and evaluate the automatic explanations via a user-study with favourable results. These explanations not only state whether an app is malware but also elaborate how and in what kind of context a decision was made.

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