Privacy and Ethical Considerations of Smart Environments: A Philosophical Approach on Smart Meters

Vishi, Kamer

doi:10.1007/978-3-031-37129-5_25

Cited by 3 publications

(1 citation statement)

References 12 publications

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“…In P45 [77], the author discussed privacy and ethical concerns around smart meters, exposing privacy risks associated with smart meters from the GDPR perspective and highlighting the complexity of these concerns and the importance of compliance with GDPR requirements when designing an IoT system.…”

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%

A Systematic Review on Privacy-Aware IoT Personal Data Stores

Pinto,

Donta,

Dustdar

et al. 2024

Sensors

View full text Add to dashboard Cite

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Break down the decentralization-security-privacy trilemma in management of distributed energy systems

Sun,

Ma,

Zhao

et al. 2024

Nat Commun

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Distributed energy systems encompass a diverse range of generation and storage solutions on the user side, where decentralized management schemes to maximize the overall social welfare are preferred considering their dispersed ownership. However, either security or privacy problems occur in recently proposed schemes. Here we report a decentralized framework leveraging the strengths of blockchain and parallelizable mathematical algorithms to overcome these potential drawbacks. The system owners bid cost functions and operating constraints through masked but coupled management subproblems, which are redistributed by the blockchain to be verifiably solved by competent peers. Such processes are iteratively executed as decisions and shadow prices are exchanged among participants, until an equilibrium is reached. The interactive framework ensures decentralized, privacy-preserving, and secure management of multiple energy sources, and reduces the total cost by 3.0 ~ 7.5% in the test system. Our results benefit the energy prosumers and promote a more active and competitive power grid.

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Redefining Healthcare

Kaur,

Anjali

2024

Revolutionizing the Healthcare Sector With AI

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This chapter explores how artificial intelligence (AI) is revolutionising healthcare, with a focus on how AI may improve operational effectiveness, individualised care, and diagnostic accuracy. It examines AI uses in personalised medicine, medical imaging analysis, and predictive analytics, highlighting the profound shifts these technologies bring to the provision of healthcare. Examined are the ethical, privacy, and regulatory issues, emphasising the significance of a responsible and balanced approach to innovation. The chapter also discusses how AI may lessen healthcare inequalities and increase accessibility everywhere. In order to guarantee AI maximises advantages while addressing social problems, it argues for a collaborative approach, recommending continual research, multidisciplinary cooperation, and strong ethical frameworks. Researchers, policymakers, and medical practitioners who are navigating the changing terrain of AI in healthcare.

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Privacy and Ethical Considerations of Smart Environments: A Philosophical Approach on Smart Meters

Cited by 3 publications

References 12 publications

A Systematic Review on Privacy-Aware IoT Personal Data Stores

A Systematic Review on Privacy-Aware IoT Personal Data Stores

Break down the decentralization-security-privacy trilemma in management of distributed energy systems

Redefining Healthcare

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