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In recent years, the use of smart devices is becoming increasingly popular. All kinds of mobile applications are emerging. In addition to the official market, there are also many ways to allow users to download the mobile app. As unidentified instances of malware grow day by day, off-the-shelf malware detection methods identify malicious programs mainly with extracted signatures of codes, which only...
In this paper, we propose an App Quick Sieve/Verify Scheme (AQSVS) to improve the App safety/quality verification issue in the third-party or enterprise app market place. The concerns related to app store safety are of paramount interest as and an increasing number of malware and defective apps caused by Android fragmentation. The AQSVS based on the use of App package information and TF/IDF inverted...
With explosive growth in the number of mobile devices mobile malware is rapidly spreading, making security one of the key issues. Existing solutions, which are mainly based on binary signatures, are not very effective. The main contribution of this paper is a novel methodology to design and implement secure mobile devices by offering a resource-optimized method that combines efficient, light-weight...
Preventing networks from being attacked has become a critical issue for network administrators and researchers. With the popularity and variety of large-scale zero-day threats over the Internet, security companies have to keep on inserting new virus signatures into their databases. However, the increasing size of virus signature file is dragging computers to a crawl during the virus scan. To effectively...
Mobile phone virus is rapidly developing with the quick development of 3G radio network. The research on mobile phone virus detection is a hotspot in mobile security field. In this paper we analyze the spread methods of various viruses, propose and design a mobile phone virus detection system based on abnormal behavior. The malware's behavior characteristics are represented in a malware database....
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