The Awareness of Internet of Things (IoT) Privacy Risk: A Survey Study

Almubark, Hameed; Masmali, Omar

doi:10.1007/978-3-031-18458-1_13

Cited by 1 publication

(1 citation statement)

References 23 publications

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“…Their findings reveal moderate awareness of information privacy protection among IoT users, suggesting a need for more education and awareness. P44 [76] carried out a questionnaire-based study with respondents from Saudi Arabia in order to investigate their understanding of the privacy risks of using IoT devices. Their main findings reveal that users believe that IoT devices affect their privacy.…”

Section: Privacy Focus In Iot Studiesmentioning

confidence: 99%

A Systematic Review on Privacy-Aware IoT Personal Data Stores

Pinto,

Donta,

Dustdar

et al. 2024

Sensors

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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.

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Section: Privacy Focus In Iot Studiesmentioning

confidence: 99%