Ontology-based Mobile Malware Behavioral Analysis

Recently, Mobile malware such as Cabir, Duts, and Brador has caused harm by leaking of user privacy, depletion of battery power, and extra service charges by automatically sending expensive multimedia messages or making long-distance calls. Also, the convenience which can download programs from the Internet and share software with one another through shortrange Bluetooth connections, worldwide multimedia messaging service (MMS) communications and memory cards has created new vulnerabilities. As we know, anti-malware software is to play an essential role in defending against mobile malware. The majority of detection software relies on an up-to-date malware signature database to detect malware. However, mobile phone networks have very different characteristics in terms of limited processing power, storage capacity and battery power. It is a challenge to distribute malware signatures files to mobile devices in a timely manner, and therefore limits the effectiveness of complex anti-malware solutions in battery-powered handsets. This paper proposes an ontology-based behavioral analysis for mobile malware, and further provides information about mobile malware for end users or organizations to help them use their mobile phones securely. Keywords—Mobile malware, smart phone, ontology, behavioral analysis.