期刊
BIG DATA RESEARCH
卷 25, 期 -, 页码 -出版社
ELSEVIER
DOI: 10.1016/j.bdr.2021.100245
关键词
Social IoT; Big Data analytics; Privacy by default; Users privacy
类别
资金
- Ministry of Science, Innovation and Universities
- European Regional Development Fund [RTI2018-096295-B-C22]
The social Internet of Things (SIoT) involves sharing data processed by IoT devices for analysis using Big Data techniques, leading to privacy concerns. This study aims to identify perspectives on user privacy in SIoT and promote the concept of privacy by default. Key findings include areas of application for SIoT and challenges faced by the industry.
The social Internet of Things (SIoT) shares large amounts of data that are then processed by other Internet of Thing (IoT) devices, which results in the generation, collection, and treatment of databases to be analyzed afterwards with Big Data techniques. This paradigm has given rise to users' concerns about their privacy, particularly with regard to whether users have to use a smart handling (self-establishment and self-management) in order to correctly install the SIoT, ensuring the privacy of the SIot-generated content and data. In this context, the present study aims to identify and explore the main perspectives that define user privacy in the SIoT; our ultimate goal is to accumulate new knowledge on the adoption and use of the concept of privacy by default in the scientific literature. To this end, we undertake a literature review of the main contributions on the topic of privacy in SIoT and Big Data processing. Based on the results, we formulate the following five areas of application of SIoT, including 29 key points relative to the concept of privacy by default: (i) SIoT data collection and privacy; (ii) SIoT security; (iii) threats for SIoT devices; (iv) SIoT devices mandatory functions; and (v) SIoT and Big Data processing and analytics. In addition, we outline six research propositions and discuss six challenges for the SIoT industry. The results are theorized for the future development of research on SIoT privacy by default and Big Data processing. (C) 2021 Elsevier Inc. All rights reserved.
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