A Comprehensive Analysis of Privacy-Preserving Solutions Developed for IoT-Based Systems and Applications DOI Open Access
Abdul Majeed, Sakshi Patni, Seong Oun Hwang

и другие.

Electronics, Год журнала: 2025, Номер 14(11), С. 2106 - 2106

Опубликована: Май 22, 2025

In recent years, a large number of Internet Things (IoT)-based products, solutions, and services have emerged from the industry to enter marketplace, improving quality service. With wide adoption IoT-based systems/applications in real scenarios, privacy preservation (PP) topic has garnered significant attention both academia industry; as result, many PP solutions been developed, tailored systems/applications. This paper provides an in-depth analysis state-of-the-art (SOTA) recently developed for systems applications. We delve into SOTA methods that preserve IoT data categorize them two scenarios: on-device cloud computing. existing privacy-by-design (PbD), such federated learning (FL) split (SL), engineering (PESs), differential (DP) anonymization, we map IoT-driven applications/systems. further summarize latest employ multiple techniques like ϵ-DP + anonymization or blockchain FL (rather than employing just one) PES PbD categories. Lastly, highlight quantum-based devised enhance security and/or real-world scenarios. discuss status current research within scope established this paper, along with opportunities development. To best our knowledge, is first work comprehensive knowledge about topics centered on IoT, which can provide solid foundation future research.

Язык: Английский

A Comprehensive Analysis of Privacy-Preserving Solutions Developed for IoT-Based Systems and Applications DOI Open Access
Abdul Majeed, Sakshi Patni, Seong Oun Hwang

и другие.

Electronics, Год журнала: 2025, Номер 14(11), С. 2106 - 2106

Опубликована: Май 22, 2025

In recent years, a large number of Internet Things (IoT)-based products, solutions, and services have emerged from the industry to enter marketplace, improving quality service. With wide adoption IoT-based systems/applications in real scenarios, privacy preservation (PP) topic has garnered significant attention both academia industry; as result, many PP solutions been developed, tailored systems/applications. This paper provides an in-depth analysis state-of-the-art (SOTA) recently developed for systems applications. We delve into SOTA methods that preserve IoT data categorize them two scenarios: on-device cloud computing. existing privacy-by-design (PbD), such federated learning (FL) split (SL), engineering (PESs), differential (DP) anonymization, we map IoT-driven applications/systems. further summarize latest employ multiple techniques like ϵ-DP + anonymization or blockchain FL (rather than employing just one) PES PbD categories. Lastly, highlight quantum-based devised enhance security and/or real-world scenarios. discuss status current research within scope established this paper, along with opportunities development. To best our knowledge, is first work comprehensive knowledge about topics centered on IoT, which can provide solid foundation future research.

Язык: Английский

Процитировано

0