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MedCop: Verifiable Computation for Mobile Healthcare System

  • Hardik Gajera
  • Shruti Naik
  • Manik Lal DasEmail author
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 969)

Abstract

Cloud-assisted mobile healthcare system collects and processes patients data and then stores them as personal health record (PHR). Verifiable monitoring program finds useful results by analysing PHR in cloud-assisted healthcare system. Service provider can delegate a monitoring program to the cloud storage server for providing cost effective and faster service. The cloud performs computation over PHR and sends result back to user. The correctness of the computation of the result must be accurate for critical diseases; otherwise, patient’s treatment can go with wrong diagnosis. At the same time, the monitoring program should be hidden from all entities involved in the computation except the service provider. This is a challenging research problem to provide efficient and secure verification of computation of result while keeping the monitoring program hidden from the cloud as well as users. In this paper, we present a secure and efficient scheme for verification of computation of result while keeping monitoring program hidden from the cloud and users. The proposed scheme, named as MedCop, uses somewhat homomorphic encryption for PHR encryption and a private polynomial function is used for computation on encrypted data. We show that the MedCop scheme is secure under discrete logarithm assumption and the proof of computation is unforgeable. The implementation result of the MedCop scheme shows that the proposed scheme is efficient in comparison to related schemes.

Keywords

Verifiable computation Cloud security Data encryption 

Notes

Acknowledgment

This research was supported in part by the Indo-French Centre for the Promotion of Advanced Research (IFCPAR) and the Center Franco-Indien Pour La Promotion De La Recherche Advancée (CEFIPRA) through the project DST/CNRS 2015-03 under DST-INRIA-CNRS Targeted Programme.

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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  1. 1.DA-IICTGandhinagarIndia

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