App Sentinel - Cloud-based Anti Malware Technology for Android App Stores

Description

Mobile security faces serious challenges, with alarming threat levels of malicious applications (malware). Malware applications attempt to capture user’s private data for illicit purposes, namely financial data, of personal context (such as location), business / corporate or other kinds of valuable information. To address this problem the AppSentinel project proposes that App Stores should incorporate proactive and intelligent anti-malware mechanisms themselves, given its privileged position between developers and end-users. In this sense, we propose to research and develop an intelligent anti-malware system for Android App Stores, capable of performing static and dynamic analysis of malicious applications from several sources and understand their behavior patterns, which will then be used in testing new applications submitted to these stores. Moreover, these new applications will also be tested regarding good practices in secure mobile software development, which will lead to educational feedback to developers. Finally, a supervised machine learning system will be investigated and developed for efficient detection of new malicious applications based on users’ feedback. With these technological innovations we intend to reduce the incidence of malware on mobile devices, increase the efficiency in the analysis of virus reported by users and accelerate the reaction to new threats, and contribute to the adoption of secure mobile software development practices by developers.

Researchers

Funded by

P2020 - PROJETOS EM CO-PROMOÇÃO

Partners

Aptoide

Keywords

Malware Detection; Machine Learning; Android Sytems

Start Date

2018-07-19