Review: Data security models developed by blockchain technology for different business domains

Mohib Hirani, Malka N. Halgamuge, Pham Duong Thu Hang

Research output: Book chapter/Published conference paperConference paperpeer-review

Abstract

This study investigates a range of data security models developed to achieve data security using blockchain technology for different industrial domains. Current industries utilize data-driven mechanisms for decision making with concern focussed on ensuring data security. Blockchain has the potential to secure data by integrating different information systems since data is decentralized, encrypted and validated by the whole network. This study includes an analysis of blockchain security models using data extracted from 30 peer-reviewed scientific publications over two years (2017-2019). This study analyzed three components of the publications, including the process involved in securing data, the stage of development for securing data and in which industry a model is best applied. Results of the research show that the majority of articles (51.11%) cited Blockchain as a key feature of data security for improvising the data sharing process in industries. This study also finds that the stage of implementation most commonly featured is the proposal stage with potential architectures yet to be implemented (30%). Finally, this study shows that models are applied in industrial domains such as enterprises using data analytics, finance, Internet of Things (IoT), healthcare, education, and cloud service providers. This study finds that security models are most often applied to industries and supply chain management models (28.13%). It is recommended that industry professionals conduct further research to customize the data security models in their own domain. This study gives clear guidelines to researchers of suitable frameworks, processes and consensus mechanism to utilize Blockchain in Industries for data security.

Original languageEnglish
Title of host publicationProceedings of 2019 11th International Conference on Knowledge and Systems Engineering, KSE 2019
EditorsJosiane Mothe, Le Hoang Son, Nguyen Tran Quoc Vinh
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages1-10
Number of pages10
ISBN (Electronic)9781728130033
DOIs
Publication statusPublished - 05 Dec 2019
Event11th IEEE International Conference on Knowledge and Systems Engineering: KSE 2019 - University of Education and Science, The University of Danang, Da Nang, Viet Nam
Duration: 24 Oct 201926 Oct 2019
http://kse2019.ued.udn.vn/welcome
https://ieeexplore.ieee.org/xpl/conhome/8909968/proceeding (proceedings)
http://kse2019.ued.udn.vn/sites/default/files/KSE%202019%20Program%20Ver13-23-10-2019%20-%20print.pdf (program)

Publication series

NameProceedings of 2019 11th International Conference on Knowledge and Systems Engineering, KSE 2019

Conference

Conference11th IEEE International Conference on Knowledge and Systems Engineering
CountryViet Nam
CityDa Nang
Period24/10/1926/10/19
OtherThe 11th KSE is an international forum for presentation, discussion, and exchange of the state-of-the-art research, development, and applications in the field of knowledge and systems engineering.

The main objective of the KSE is to bring together researchers, practitioners and students not only to share research results and practical applications but also to foster collaboration in the field. The KSE this year will be held in Da Nang, a coastal and tourism city with beautiful beaches and a lot of exciting experiences. The conference will be co-organized by The University of Da Nang - University of Science and Education (UD-USE) and VNU University of Engineering and Technology (VNU-UET).
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