Chinese Journal of Network and Information Security ›› 2021, Vol. 7 ›› Issue (1): 93-100.doi: 10.11959/j.issn.2096-109x.2021010

Special Issue: 边缘计算

• Papers • Previous Articles     Next Articles

Privacy protection key distribution protocol for edge computing

Jian SHEN, Tianqi ZHOU, Chen WANG, Huijie YANG   

  1. Jiangsu Engineering Center of Network Monitoring, Nanjing University of Information Science and Technology, Nanjing 210044, China
  • Revised:2021-01-03 Online:2021-02-15 Published:2021-02-01
  • Supported by:
    The National Natural Science Foundation of China(U1836115);The National Natural Science Foundation of China(61672295);The National Natural Science Foundation of China(61922045);The National Natural Science Foundation of China(61672290);The National Natural Science Foundation of China(61877034);Cyberspace Security Research Center, Peng Cheng Laboratory Project of Guangdong Province(PCL2018KP004);The Natural Science Foundation of Jiangsu Province(BK20181408);2020 Research Innovation Program for Postgraduates of Jiangsu Province(KYCX20-0936)

Abstract:

Aiming at the privacy protection problem in the multi-application scenarios of edge computing, two policy-based key distribution protocols were proposed.The proposed protocols are based on the concept of constrained pseudo-random functions to achieve efficient and flexible policy selection.Specifically, based on the GGM pseudo-random number generator, the key distribution protocol with a prefix-predicate is constructed, which can effectively support lightweight and efficient key distribution.Moreover, based on the multilinear pairing, the key distribution protocol with a bit fixing predicate is constructed.This protocol can support flexible and fine-grained strategy selection and is suitable for dynamic and flexible multi-device scenarios in heterogeneous networks.Finally, the security proof of the proposed protocols is presented.

Key words: edge computing, privacy protection, constrained pseudorandom function, key distribution

CLC Number: 

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