Blockchain as a Notarization Service for Data Sharing with Personal Data Store

Mohammad Jabed Morshed Chowdhury, Alan Colman, Muhammad Ashad Kabir, Jun Han, Paul Sarda

Research output: Book chapter/Published conference paperConference paper

13 Citations (Scopus)

Abstract

Personal data such as electronic medical records and academic records are critical and sensitive private information. These personal information is usually hosted across many data-custodian systems. Personal Data Store (PDS) is a service that lets an individual store, manage and deploy their key personal data in a highly secure and structured way. It also gives the user a central point of control for their personal information. One of the inherent problems of digital records is that it can be easily forged. Therefore, the data-consumer(with whom the data is shared) often needs to verify the authenticity of the shared document/record by communicating with the document/certificate issuing authority (e.g., data custodian). However, this process is time consuming and inefficient. In recent time, blockchain has gained tremendous attention from both industry and academia for distributed recording and immutable transactions. Blockchain provides a shared, immutable and transparent history of transactions enabling the building of applications that incorporate trust, accountability and transparency. This provides a unique opportunity to develop a secure and trustable data sharing system using blockchain. However, blockchain is primarily proposed for publicly verifiable transactions and does not provide privacy to the individuals. In this paper, we propose a data sharing framework that will guarantee the authenticity of the shared data in real-time and provide transactional privacy in a blockchain network. We have implemented our framework in a prototype that ensures privacy, integrity, and fine-grained access control over the shared data. The proposed work can significantly reduce the turnaround time for data sharing, improve the decision making process and reduce the overall cost.
Original languageEnglish
Title of host publicationProceedings of the 17th IEEE International Conference on Trust, Security and Privacy in Computing and Communications and 12th IEEE International Conference on Big Data Science and Engineering
Subtitle of host publicationTrustcom/BigDataSE 2018
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages1330-1335
Number of pages6
ISBN (Electronic)9781538643884
ISBN (Print)9781538643877
DOIs
Publication statusPublished - 05 Sep 2018
Event17th IEEE International Conference on Trust, Security and Privacy in Computing and Communications and 12th IEEE International Conference on Big Data Science and Engineering: Trustcom/BigDataSE 2018 - New York, United States
Duration: 31 Jul 201803 Aug 2018
http://www.cloud-conf.net/trustcom18/ (Conference website)

Conference

Conference17th IEEE International Conference on Trust, Security and Privacy in Computing and Communications and 12th IEEE International Conference on Big Data Science and Engineering
CountryUnited States
CityNew York
Period31/07/1803/08/18
OtherThe 17th IEEE International Conference on Trust, Security and Privacy in Computing and Communications (IEEE TrustCom-18) will be held in New York, USA from August 1st to 3rd, 2018. The conference aims at bringing together researchers and practitioners in the world working on trusted computing and communications, with regard to trust, security, privacy, reliability, dependability, survivability, availability, and fault tolerance aspects of computer systems and networks, and providing a forum to present and discuss emerging ideas and trends in this highly challenging research field.
Internet address

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  • Cite this

    Chowdhury, M. J. M., Colman, A., Kabir, M. A., Han, J., & Sarda, P. (2018). Blockchain as a Notarization Service for Data Sharing with Personal Data Store. In Proceedings of the 17th IEEE International Conference on Trust, Security and Privacy in Computing and Communications and 12th IEEE International Conference on Big Data Science and Engineering: Trustcom/BigDataSE 2018 (pp. 1330-1335). [8456052] IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/TrustCom/BigDataSE.2018.00183