SafeDroid: A Distributed Malware Detection Service for Android

Rohit Goyal, Angelo Spognardi, Nicola Dragoni, Marios Argyriou

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Abstract

Android platform has become a primary target for malware. In this paper we present SafeDroid, an open source distributed service to detect malicious apps on Android by combining static analysis and machine learning techniques. It is composed by three micro-services, working together, combining static analysis and machine learning techniques. SafeDroid has been designed as a user friendly service, providing detailed feedback in case of malware detection. The detection service is optimized to be lightweight and easily updated. The feature set on which the micro-service of detection relies on on has been selected and optimized in order to focus only on the most distinguishing characteristics of the Android apps. We present a prototype to show the effectiveness of the detection mechanism service and the feasibility of the approach.
Original languageEnglish
Title of host publicationProceedings of the 9th IEEE International Conference on Service Oriented Computing and Applications (SOCA 2016)
PublisherIEEE
Publication date2016
Pages59-66
ISBN (Print)9781509047819
DOIs
Publication statusPublished - 2016
Event9th IEEE International Conference on Service Oriented Computing and Applications (SOCA 2016) - Macau, China
Duration: 4 Nov 20166 Nov 2016
Conference number: 9
http://conferences.computer.org/soca/

Conference

Conference9th IEEE International Conference on Service Oriented Computing and Applications (SOCA 2016)
Number9
CountryChina
CityMacau
Period04/11/201606/11/2016
Internet address

Cite this

Goyal, R., Spognardi, A., Dragoni, N., & Argyriou, M. (2016). SafeDroid: A Distributed Malware Detection Service for Android. In Proceedings of the 9th IEEE International Conference on Service Oriented Computing and Applications (SOCA 2016) (pp. 59-66). IEEE. https://doi.org/10.1109/SOCA.2016.14