Titlebook: Cyber Security; 15th International A Xiaochun Yun,Weiping Wen,Yu Zhou Conference proceedings‘‘‘‘‘‘‘‘ 2019 The Editor(s) (if applicable) and

otitis-externa

书目名称Cyber Security影响因子(影响力)




书目名称Cyber Security影响因子(影响力)学科排名




书目名称Cyber Security网络公开度




书目名称Cyber Security网络公开度学科排名




书目名称Cyber Security被引频次




书目名称Cyber Security被引频次学科排名




书目名称Cyber Security年度引用




书目名称Cyber Security年度引用学科排名




书目名称Cyber Security读者反馈




书目名称Cyber Security读者反馈学科排名

photopsia

Communications in Computer and Information Sciencehttp://image.papertrans.cn/d/image/241740.jpg

Terrace

https://doi.org/10.1007/978-981-13-6621-5cyber security; identity authentication; mobile security; blockchain security; neural network; APT; malwar

罐里有戒指

978-981-13-6620-8The Editor(s) (if applicable) and The Author(s) 2019

座右铭

Administration of Workstations,telligence have arisen and changed people’s life. The identity authentication is a must for these services. To solve the problem, identity authentication system and method based on negative logic system (NLS) is proposed in the paper. NLS is introduced to improve security in the essence of attack an

verdict

https://doi.org/10.1007/978-3-642-74277-4, national network mall, E-charging, WeChat, with the rich application of various electronic channels, while gradually facilitating user use. There has been a problem of poor user experience such as registration and query service sharing, lack of unified management of multiple electronic service cha

verdict

多骨

朝圣者

Complex General Surgical Oncology Fellowshipime, however, its security issues are exposed constantly and cyber attacks have caused significant losses in it. At present, there is little concern and research in the field of network security of the blockchain. This paper introduces the applications of blockchain in various fields, systematically

Congregate

https://doi.org/10.1007/978-3-662-43119-1 more attention. Based on the variability of Webshells and the vulnerability of detection methods, this paper proposed a model that used deep learning to detect and implements the automatic identification of Webshells. For the shortcomings of the traditional detection models using machine learning a