An intelligent multi-agent based detection framework for classification of android malware

摘要: Android is currently the most popular operating system for smartphone devices with over 900 million installations until 2013. It also vulnerable platform due to allowing of software downloads from 3rd party sites, loading additional code at runtime, and lack frequent updates known vulnerabilities. Securing such malware that targets users paramount. In this paper, we present a Jade agent based framework targeted towards protecting devices. We focus on scenarios use where agents can be dynamically launched. believe, detection technique has intelligent limited battery constraints these Moreover, utilization might become secondary in certain settings accuracy given higher preference. framework, expensive analysis components utilizing machine-learning algorithms are pushed server side, while client used mainly feature gathering.