• 中国计算机学会会刊
  • 中国科技核心期刊
  • 中文核心期刊

J4 ›› 2015, Vol. 37 ›› Issue (07): 1265-1271.

• 论文 • Previous Articles     Next Articles

An improved access control strategy for perceptual layer of IoT  

CAI Ting1,CHEN Changzhi1,OUYANG Kai2,ZHOU Jingli2   

  1. (1.Department of Computer,College of Mobile Telecommunications,
    Chongqing University of Posts and Telecommunications,Chongqing 401520;
    2.College of Computer,Huazhong University of Science and Technology,Wuhan 430074,China)
  • Received:2014-10-17 Revised:2014-11-26 Online:2015-07-25 Published:2015-07-25

Abstract:

Due to the massive terminal nodes in the Internet of Things (IoT),the traditional access control strategies confront challenges in improving adaptability and efficiency.Therefore,we present an efficient access control strategy.Based on ABAC mechanism,we formalize the formal definition of ABAC,and design an access control frame for the perceptual layer of IoT,which achieves a more fine-grained authorization.Moreover,we introduce a disjunctive normal form structure by using an improved CP-ABE algorithm to replace the access tree structure in the traditional CPABE algorithm, which effectively simplifies the calculation and improves the efficiency of the system.Evaluation experiments demonstrate that the proposed access control strategy reduces the time cost of the system, and has better adaptability and superiority in the IoT environment than the traditional strategies.

Key words: Internet of Things (IoT);perceptual layer;ABAC;access control;CPABE;strategy