A survey of privacy solutions using blockchain for recommender systems: current status, classification and open issues
Article
Article Title | A survey of privacy solutions using blockchain for recommender systems: current status, classification and open issues |
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ERA Journal ID | 17794 |
Article Category | Article |
Authors | Abduljabbar, Tamara Abdulmunim (Author), Tao, Xiaohui (Author), Zhang, Ji (Author), Zhou, Xujuan (Author), Li, Lin (Author) and Cai, Yi (Author) |
Journal Title | The Computer Journal |
Journal Citation | 64 (7), pp. 1104-1129 |
Number of Pages | 26 |
Year | 2021 |
Place of Publication | United Kingdom |
ISSN | 0010-4620 |
1460-2067 | |
Digital Object Identifier (DOI) | https://doi.org/10.1093/comjnl/bxab065 |
Web Address (URL) | https://academic.oup.com/comjnl/article-abstract/64/7/1104/6289879 |
Abstract | Due to the rapid growth of Internet, E-commerce and Internet of Things, people use Web based services for most of their needs including buying items, reading books, watching online shows etc. Several companies are using recommender systems to influence people’s choices based on their likings, behaviours etc. Hence, people fear that their privacy is violated. Also, some of the online applications are not safe and secure. One way to overcome the privacy related issues is using secured solutions such as incorporating blockchain technologies for privacy-based applications. The decentralized nature of blockchain technologies have resolved several security, and authentication problems of Internet of Things systems. In this paper, we conduct a comprehensive survey on the privacy solutions for recommender systems emphasising current status, classification and open issues. We also discuss blockchain technology, including its structure as well as applications of blockchain technology for privacy solutions of recommender systems. Furthermore, we discuss the limitations and delve into future trends that blockchain technology can be adapted for privacy-base applications in the years to come. |
Keywords | recommender systems; privacy protection; blockchain; survey |
ANZSRC Field of Research 2020 | 460510. Recommender systems |
460402. Data and information privacy | |
Byline Affiliations | School of Sciences |
School of Business | |
Wuhan University of Technology, China | |
South China University of Technology, China | |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q65x6/a-survey-of-privacy-solutions-using-blockchain-for-recommender-systems-current-status-classification-and-open-issues
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