Abstract
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.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.