ISSN 1000-1239 CN 11-1777/TP

Journal of Computer Research and Development ›› 2020, Vol. 57 ›› Issue (5): 1070-1079.doi: 10.7544/issn1000-1239.2020.20190307

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An Anonymous Agent Tracking Privacy Preserving Scheme in Mobile Healthcare System

Luo Entao1, Duan Guoyun2, Zhou Lei3, Zhu Xiaoyu4   

  1. 1( School of Electronics and Information Engineering, Hunan University of Science and Engineering, Yongzhou, Hunan 425199);2( Information and Network Center, Hunan University of Science and Engineering, Yongzhou, Hunan 425199);3( Department of Computer Science, Wayne State University, Detroit, MI, USA 48202);4( School of Information Science and Engineering, Central South University, Changsha 410083)
  • Online:2020-05-01
  • Supported by: 
    This work was supported by the Key Program of the National Natural Science Foundation of China (61632009), the General Program of the National Natural Science Foundation of China (61472451, 61402543, 61272151, 61502163), the General Program of the Natural Science Foundation of Hunan Province of China (2018JJ2147), the Natural Science Foundation of Hunan Province of China for Young Scientists (2018JJ3203), the Scientific Research Foundation of Hunan Provincial Education Department (2015C0589, 17C0679), and the Construct Program of Applied Characteristic Discipline in Hunan University of Science and Engineering.

Abstract: To solve doctor’s service bottlenecks under the peak condition of mobile medical, the paper proposes utilizing authorized agents to provide service, so as to reduce the burden of doctors and enhance the flexibility of service as well. We use attribute encryption technology to encrypt medical data. The ciphertext can be decrypted correctly when the proxy attribute satisfies the policy set by the authorized user, so as to obtain proxy signature to provide medical service for medical users. The scheme not only can alleviate the burden on the mobile medical service providers in the peak of the bottleneck, but also can solve the authorization problem during the absence of doctors. At the same time, we can achieve proxy traceback to preform the agency accountability and avoid unauthorized agency audit. This scheme can be used to reduce the computing cost of authorized doctors by using trusted authorization center. The simulation results reveal that the performance can be improved significantly than other scheme. At the same time, the candidate number prediction model and the supply computational resources prediction model are proposed. They can effectively estimate the number of candidate and collaborative computing power ability, which can be used for reference to alleviate the bottleneck problem in peak computing.

Key words: mobile medical, digital signature, anonymous agent, attribute encryption, traceability

CLC Number: