4.5 Article

Novel private data access control scheme suitable for mobile edge computing

Journal

CHINA COMMUNICATIONS
Volume 18, Issue 11, Pages 92-103

Publisher

CHINA INST COMMUNICATIONS
DOI: 10.23919/JCC.2021.11.007

Keywords

Servers; Encryption; Elliptic curve cryptography; Data privacy; Cloud computing; Costs; Blockchains; mobile edge computing (MEC); privacy protection; access control; anonymous authentication

Funding

  1. National Natural Science Foundation of China [62072170, 62177047]
  2. Fundamental Research Funds for the Central Universities [531118010527]
  3. Science and Technology Key Projects of Hunan Province [2022GK2015]
  4. Hunan Provincial Natural Science Foundation of China [2021JJ30141]

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The study proposes an anonymous privacy data protection and access control scheme based on ECC and bilinear pairing to ensure the security of MEC communication, with freshness guaranteed by timestamps and random numbers, effectively reducing costs.
Efficient response speed and information processing speed are among the characteristics of mobile edge computing (MEC). However, MEC easily causes information leakage and loss problems because it requires frequent data exchange. This work proposes an anonymous privacy data protection and access control scheme based on elliptic curve cryptography (ECC) and bilinear pairing to protect the communication security of the MEC. In the proposed scheme, the information sender encrypts private information through the ECC algorithm, and the information receiver uses its own key information and bilinear pairing to extract and verify the identity of the information sender. During each round of communication, the proposed scheme uses timestamps and random numbers to ensure the freshness of each round of conversation. Experimental results show that the proposed scheme has good security performance and can provide data privacy protection, integrity verification, and traceability for the communication process of MEC. The proposed scheme has a lower cost than other related schemes. The communication and computational cost of the proposed scheme are reduced by 31.08% and 22.31% on average compared with those of the other related schemes.

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