期刊文献+

智能电视终端应用评估体系及实现

下载PDF
导出
摘要 随着智能化电视终端的快速普及,电视应用市场会成为新业务的入口,随之而来的应用可用性和安全性也成为重点研究方向,智能电视终端应用评估体系为智能电视终端APP可用性和安全性评估提供依据,提供终端服务安全与内容安全防护手段。本文提出并研发出一套智能电视终端应用评估体系,从应用的质量和安全两个维度进行评估,其中质量包括功能性、稳定性、兼容性,安全包括应用静态代码安全。
作者 汤新坤
出处 《广播电视信息》 2018年第9期68-71,共4页 Radio & Television Information
基金 国家广播电视总局广播科学研究院基本科研业务费项目"广播电视智能终端应用软件技术要求及检测方法研究"(课题号:JBKY2017011)资助
  • 相关文献

参考文献5

二级参考文献18

  • 1戚湧,胡俊,於东军.基于自组织映射与概率神经网络的增量式学习算法[J].南京理工大学学报,2013,37(1):1-6. 被引量:7
  • 2Anastasia S,Dennis G.Review of the mobile malware detection approaches[C]//Proceedings of the 23rd International Conference on Parallel,Distributed and Network-Based Processing.Washington,USA:IEEE Computer Society,2015:600-603.
  • 3Islam R,Tian R,Batten L M,et al.Review:classification of malware based on integrated static and dynamic features[J].Journal of Network and Computer Applications,2013,36(2):646-656.
  • 4Mas’Ud M Z,Sahib S,Abdollah M F,et al.Analysis of features selection and machine learning classifier in Android malware detection[C]//Proceedings of IEEE International Conference on Information Science and Applications.Washington,USA:IEEE Computer Society,2014:1-5.
  • 5Zhou Yajin,Wang Zhi,Zhou Wu,et al.Hey,you,get off of my market:detecting malicious Apps in official and alternative Android markets[C]//Proceedings of the 19th Annual Network & Distributed System Security Symposium.Washington,USA:Internet Society,2012:123-129.
  • 6Zhang Yuan,Yang Min,Yang Zhemin,et al.Permission use analysis for vetting undesirable behaviors in Android Apps[J].IEEE Transactions on Information Forensics and Security,2014,9(11):1828-1842.
  • 7Pandita R,Xiao X,Yang W,et al.WHYPER:towards automating risk assessment of mobile applications[C]//Proceedings of the 22nd USENIX Security Symposium.Berkeley,USA:USENIX,2013:89-97.
  • 8Salehi Z,Ghiasi M,Sami A.A miner for malware detection based on API function calls and their arguments[C]//Proceedings of the 16th CSI International Symposium on Artificial Intelligence and Signal Processing.Washington,USA:IEEE Computer Society,2012:563-568.
  • 9Yerima S Y,Sezer S,Muttik I.High accuracy Android malware detection using ensemble learning[J].IET Information Security,2015,9(6):313-320.
  • 10孙志军,薛磊,许阳明,王正.深度学习研究综述[J].计算机应用研究,2012,29(8):2806-2810. 被引量:595

共引文献36

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部