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Mobile malware 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 short-range Bluetooth connections, worldwide multimedia messaging service 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. Therefore, this paper proposes an ontology-based behavioral analysis for mobile malware, and further provides information about mobile malware for end users to help them use their mobile phones securely.