Application of dynamic variable cipher security certificate in Internet of Things

With the development of Internet of Things (IOT), there are more and more concerns about the security of IOT. In terms of security of Internet, the security framework of Internet can not provide a completely solution to solve all security problems in IOT [1]. This paper describes the security structure of sensor layer, network layer, and application layer in IOT. This thesis intends to analyze the security features of sensor layer, and then presents dynamic variable cipher security certificate, a new method of ID authentication among node and node in sensor layer. This certificate provides a method of “one time one cipher” between communicating parties. It's a lightweight encryption or decryption method, using time stamp technology, timeliness in the two communication partners is guaranteed. In general, dynamic variable cipher security certificate can be well applied to the communication among sensor nodes in IOT.

[1]  Xu Cheng,et al.  Researches on the platform of network manufacture products electronic trading based on fair exchange protocol and digital watermark , 2003, Proceedings of the 2003 IEEE International Conference on Intelligent Transportation Systems.

[2]  Balasubramanie Palanisamy,et al.  Efficient Approach Towards an Agent-Based Dynamic Web Service Discovery Framework with QoS Support , 2011 .

[3]  Quan Liu,et al.  The HMM-based Modeling for the Energy Level Prediction in Wireless Sensor Networks , 2007, 2007 2nd IEEE Conference on Industrial Electronics and Applications.

[4]  Yin Baocai,et al.  A framework and QoS based web services discovery , 2010, 2010 IEEE International Conference on Software Engineering and Service Sciences.

[5]  Weizhong Luo.  A quantum genetic algorithm based QoS routing protocol for wireless sensor networks , 2010, 2010 IEEE International Conference on Software Engineering and Service Sciences.

[6]  Wenjun Xu,et al.  Research of UWB Signal Propagation Attenuation Model in Coal Mine , 2007, UIC.

[7]  Wenjun Xu,et al.  Directed Diffusion Based on Link-Stabilizing Clustering for Wireless Sensor Networks , 2007, UIC.

[8]  Wang Hui,et al.  An Advanced MAC Protocol for Wireless Sensor Networks , 2006, 2006 International Conference on Communications, Circuits and Systems.

[9]  Liping Zheng,et al.  Multi-constratined QOS routing optimization of wireless mesh network based on hybrid genetic algorithm , 2010, 2010 International Conference on Intelligent Computing and Integrated Systems.