文章基本信息

标题：SVN: SOFTWARE VULNERABILITY PREDICTION BY NEURAL NETWORK
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作者：B Noorul Sajini ; P. Vijaya Sarathy
期刊名称：International Journal of Advanced Research in Computer Engineering & Technology (IJARCET)
印刷版ISSN：2278-1323
出版年度：2014
卷号：3
期号：11
页码：3936-3939
出版社：Shri Pannalal Research Institute of Technolgy
摘要：The vogue and advanced f unctionality of mobile devices to create them striking targets for malevolent and invasive applications (apps). They need security measures are in the own place for mobile system. The user to make decisions that crash the security of a device, where these system often to fail. Say f or example, Android depends on users to identify the permissions that an app is requesting and to base the fitting decisions on t he list of permissions. In the proposed model we creating a monitoring neural learning for a sof tware verifications (SVN). This model to tracked, if there any misbehaved application accessed by user it will be blocked it
关键词：Android; Mobile device; SVN