Dynamic Cloud Access Control via Accelerometers Using Customized Actions of Occupants
Biaokai Zhu, Jumin Zhao, Dengao Li, Hong Wang, Ruiqin Bai, Yanxia Li, Bin Yang · 2017
Despite the widespread installation of access control systems in all places where authorized users to enter, access control systems are still not immature due to the limited technology of convenience, security and low latency. Existing biological method based systems are relatively reliable, such as fingerprint identification, face perception and iris recognition. However, these techniques require excessive installation and maintenance. Thus, we propose a new dynamic cloud access control, which leverages sensing capability of Wireless Identification and Sensing Platform (WISP) tags, to combine user motion and to realize abnormal alarm. Users can be granted to get into the access control system when they perform user-defined action. The intelligent security system is not only convenient for users to customize the action, but also improves the security of access control system. By measuring and mining data from the WISP tags, we implement the proposed system and conduct extension experiments. The experimental data demonstrates the effectiveness of the proposed system.