A Systematic Review on Privacy-Aware IoT Personal Data Stores

Abstract

Data from the Internet of Things (IoT) enables the design of new business models and services that improve user experience and satisfaction. These data serve as important information sources for many domains, including disaster management, biosurveillance, smart cities, and smart health, among others. However, this scenario involves the collection of personal data, raising new challenges related to data privacy protection. Therefore, we aim to provide state-of-the-art information regarding privacy issues in the context of IoT, with a particular focus on findings that utilize the Personal Data Store (PDS) as a viable solution for these concerns. To achieve this, we conduct a systematic mapping review to identify, evaluate, and interpret the relevant literature on privacy issues and PDS-based solutions in the IoT context. Our analysis is guided by three well-defined research questions, and we systematically selected 49 studies published until 2023 from an initial pool of 176 papers. We analyze and discuss the most common privacy issues highlighted by the authors and position the role of PDS technologies as a solution to privacy issues in the IoT context. As a result, our findings reveal that only a small number of works (approximately 20%) were dedicated to presenting solutions for privacy issues. Most works (almost 82%) were published between 2018 and 2023, demonstrating an increased interest in the theme in recent years. Additionally, only two works used PDS-based solutions to deal with privacy issues in the IoT context.

Exploring the Impact of METO Factors with Data Privacy Changes at IoT Systems: A Comprehensive Review

“…A comprehensive understanding of existing research is achieved through a systematic literature review (SLR) research methodology to fulfil the research objectives of investigating data privacy in IoT systems [3,12,19]. In this study, the systematic mapping process is conducted through the graphical representation of the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) [20] flow diagram as illustrated in Figure 1.…”

“…Many recent studies have reviewed IoT privacy challenges from different perspectives, aiming to enhance understanding of the challenges and their impact on different areas [10][11][12][13][14][15][16][17][18]. In 2024, Pinto, George P., et al [12] contributed to privacy challenges with a massive focus on user awareness of data stores. They conducted a systematic review that helps in understanding the privacy risks, threats, assessment methodology, breaches, and challenges in the IoT context.…”

“…Education Assets [24], [43] SStudy Personal Privacy Assistant Security Awareness and Training Education Assets [10][11][12][13][14][15][16][17][18], [26], [32][33][34][35][36] The study continues on privacy challenges and directions.…”