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

otitis-externa

書目名稱Cyber Security影響因子(影響力)




書目名稱Cyber Security影響因子(影響力)學(xué)科排名




書目名稱Cyber Security網(wǎng)絡(luò)公開度




書目名稱Cyber Security網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Cyber Security被引頻次




書目名稱Cyber Security被引頻次學(xué)科排名




書目名稱Cyber Security年度引用




書目名稱Cyber Security年度引用學(xué)科排名




書目名稱Cyber Security讀者反饋




書目名稱Cyber Security讀者反饋學(xué)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

座右銘

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