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Privacy-Preserving Data Communication Through Secure Multi-Party Computation in Healthcare Sensor Cloud

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Abstract

In recent years, wireless medical sensor networks meet the web to enable exciting healthcare applications that require data communication over the Internet. Often these applications suffer from data disclosure due to malicious users’ activities. To prevent such data disclosure in the healthcare systems, many public key cryptographic techniques have been used. However, most of them are too expensive to implement in the web-enabled wireless medical sensor networks. In 2013, Xun et al. introduced a lightweight encryption algorithm to protect communication between the sensor node and the data servers. Their scheme is based on the Sharemind framework. However, Sharemind framework has a limitation on the number of data storage servers (ie., three servers only). In addition, Xun et al’s scheme does not support privacy-preserving patient data analysis for distributed databases of different hospitals. In this paper, we introduce a new practical approach to prevent data disclosure from inside attack. Our new proposal is based on FairplayMP framework which enables programmers who are not experts in the theory of secure computation to implement such protocols. In addition, it support any number of n participants and is suitable for distributed environments. Moreover, in our new scheme, each sensor node needs only one secret key stored in advance to communicate with n different data servers, whereas three secret keys are embedded in advance into each sensor in order to communicate with three data servers in Xun et al’s scheme.

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Notes

  1. Also known as ”honest but curious” adversaries. Adversaries of this type are assumed to follow the instructions that are prescribed for them by the protocol. They may, however, try to learn additional information from the messages that they receive

  2. The identity of a user may be verified and authorized by verifying a digital signature signed from the user such as RSA signature or via a password based authentication system

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Acknowledgments

The authors extend their appreciation to the Deanship of Scientific Research at King Saud University, Riyadh, Saudi Arabia for funding this work through the research group project No. RGP-318. R. Tso’s research was supported in part by Taiwan Information Security Center (TWISC), Academia Sinica, and Ministry of Science and Technology, Taiwan, under the grant MOST 104-2218-E-001-002 and MOST104-2221-E-004-007.

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Authors and Affiliations

  1. Department of Computer Science, National Chengchi University, Taipei, Taiwan

    Raylin Tso

  2. Software Engineering Department, College of Computer and Information Sciences(CCIS), King Saud University, Riyadh, Kingdom of Saudi Arabia

    Abdulhameed Alelaiwi & M. Shamim Hossain

  3. Information Systems Department, College of Computer and Information Sciences(CCIS), Research Chair of Pervasive and Mobile Computing, King Saud University, Riyadh, Kingdom of Saudi Arabia

    Sk Md Mizanur Rahman

  4. Department of Mathematics, Soochow University, Taipei, Taiwan

    Mu-En Wu

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  1. Raylin Tso
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  2. Abdulhameed Alelaiwi
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  3. Sk Md Mizanur Rahman
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  4. Mu-En Wu
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  5. M. Shamim Hossain
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Corresponding author

Correspondence to M. Shamim Hossain.

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Tso, R., Alelaiwi, A., Mizanur Rahman, S.M. et al. Privacy-Preserving Data Communication Through Secure Multi-Party Computation in Healthcare Sensor Cloud. J Sign Process Syst 89, 51–59 (2017). https://doi.org/10.1007/s11265-016-1198-2

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  • DOI: https://doi.org/10.1007/s11265-016-1198-2

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