Login authentication vulnerability mining and improved login authentication method based on an open source intelligent terminal
LIU Wu1, WANG Yongke2, SUN Donghong1, REN Ping3, LIU Ke4
1. Institute of Network Science and Network Space, Tsinghua University, Beijing 100084, China;
2. Institute of Information Engineering, Chinese Academy of Sciences, Beijing 100093, China;
3. College of Mathematics Science, Chongqing Normal University, Chongqing 400047, China;
4. China Citic Bank Branch of Tsinghua Science and Technology Park, Beijing 100084, China
Abstract：Open source intelligent terminals have many advantages in intelligent smart phones with endless applications of intelligent terminals based on open source codes. However, there are also many security risks for applications using intelligent terminals. This study analyzes the login authentication of a mainstream Android application in today's market by reverse analysis. The security flaws for current login authentication mechanisms are evaluated to discover potential security vulnerabilities in intelligent terminal devices. An improved for login authentication scheme is then given which effectively improves the security of intelligent terminal systems.
刘武, 王永科, 孙东红, 任萍, 刘柯. 开源智能终端认证漏洞挖掘及登录认证改进[J]. 清华大学学报（自然科学版）, 2017, 57(9): 897-902.
LIU Wu, WANG Yongke, SUN Donghong, REN Ping, LIU Ke. Login authentication vulnerability mining and improved login authentication method based on an open source intelligent terminal. Journal of Tsinghua University(Science and Technology), 2017, 57(9): 897-902.
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2017, Vol. 57 
