GDPR Personal Privacy Security Mechanism for Smart Home System

Author:

Jhuang Yun-Yun1,Yan Yu-Hui2,Horng Gwo-Jiun2ORCID

Affiliation:

1. Department of Management Information Systems, National ChengChi University, Taipei 11605, Taiwan

2. Department of Computer Science and Information Engineering, Southern Taiwan University of Science and Technology, Tainan 71005, Taiwan

Abstract

In the era of vigorous development of the Internet of Things (IoT), the IoT has been widely used in people’s daily life. Before the user starts using an IoT product, the developer provides a privacy consent form for the user to fill in. However, the content of the consent form is usually too long for the user to read, and the user neglects the provisions related to privacy use, which often results in personal information being recorded in the database of the product without the user’s knowledge. To protect users’ informed use, we propose a privacy protection standard of the general data protection regulation (GDPR) law applicable to smart-family-related applications and data security with a consensus mechanism. We also propose a unified device data format agreement. Each product can communicate with each other through a smart housekeeper and can collect personal information between its own products and users based on the personal data protection law. Through practice, we demonstrate the feasibility of this open system. In addition, we also collected 70 questionnaires. If the GDPR specification is placed on smart appliances, about 90% of people can accept smart appliances. If smart appliances can be compatible with different brands’ unified standards, about 97% of people can accept smart appliances. Therefore, we recommend the introduction of GDPR specifications for smart home appliances.

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Hardware and Architecture,Signal Processing,Control and Systems Engineering

Reference41 articles.

1. Manyika, J., Chui, M., Bisson, P., Woetzel, J., Dobbs, R., Bughin, J., and Aharon, D. (2015). Unlocking the Potential of the Internet of Things, McKinsey Global Institute.

2. The fourth industrial revolutionindustry 4.0;Fiabil. Şi Durabilitate,2017

3. (2022, May 31). SEMI Taiwan. Available online: https://www.semi.org/zh/blogs/technology-trends/industry-4.0.

4. Biswas, A.R., and Giaffreda, R. (2014, January 6–8). IoT and cloud convergence: Opportunities and challenges. Proceedings of the 2014 IEEE World Forum on Internet of Things (WF-IoT), Seoul, Republic of Korea.

5. Taiwan Network Information Center (2022, July 11). 2019 Taiwan Network Report. Available online: https://www.twnic.tw/doc/twrp/201912e.pdf.

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