Data analytics and information technologies for smart energy storage systems: A state-of-the-art review

F Nasiri, R Ooka, F Haghighat, N Shirzadi… - Sustainable Cities and …, 2022 - Elsevier
This article provides a state-of-the-art review on emerging applications of smart tools such
as data analytics and smart technologies such as internet-of-things in case of design …

A review of the use of wearables in indoor environmental quality studies and an evaluation of data accessibility from a wearable device

B Abboushi, S Safranek… - Frontiers in Built …, 2022 - frontiersin.org
An understanding of indoor environmental quality (IEQ) and its effects on occupant well-
being can inform building system design and operation. The use of wearables in field …

Security, cost and energy aware scheduling of real-time IoT workflows in a mist computing environment

GL Stavrinides, HD Karatza - Information Systems Frontiers, 2022 - Springer
The rapid expansion of the Internet of Things (IoT) led to the emergence of new computing
paradigms, such as mist and fog computing, in order to tackle the problem of transferring …

Recent trends towards privacy‐preservation in Internet of Things, its challenges and future directions

M Safaei Yaraziz, A Jalili, M Gheisari… - IET Circuits, Devices & …, 2023 - Wiley Online Library
Abstract The Internet of Things (IoT) is a self‐configuring, intelligent system in which
autonomous things connect to the Internet and communicate with each other. As 'things' are …

[PDF][PDF] Privacy-Aware IoT: State-of-the-Art and Challenges.

S Tokas, G Erdogan, K Stølen - ICISSP, 2023 - gencer.no
The consumer IoT is now prevalent and creates an enormous amount of fine-grained,
detailed information about consumers' everyday actions, personalities, and preferences …

Mastering data privacy: leveraging K-anonymity for robust health data sharing

S Karagiannis, C Ntantogian, E Magkos… - International Journal of …, 2024 - Springer
In modern healthcare systems, data sources are highly integrated, and the privacy
challenges are becoming a paramount concern. Despite the critical importance of privacy …

Assessing the Effectiveness of Masking and Encryption in Safeguarding the Identity of Social Media Publishers from Advanced Metadata Analysis

M Khader, M Karam - Data, 2023 - mdpi.com
Machine learning algorithms, such as KNN, SVM, MLP, RF, and MLR, are used to extract
valuable information from shared digital data on social media platforms through their APIs in …

AIoT concepts and integration: exploring customer interaction, ethics, policy, and privacy

R Singha, S Singha - Artificial Intelligence of Things (AIoT) for …, 2024 - igi-global.com
Integrating AIoT technologies provide businesses with increased productivity, cost savings,
data-driven insights, and enhanced consumer interactions. Nevertheless, difficulties include …

Mitigating IoT Privacy-Revealing Features by Time Series Data Transformation

F Wang, Y Tang, H Fang - Journal of Cybersecurity and Privacy, 2023 - mdpi.com
As the Internet of Things (IoT) continues to expand, billions of IoT devices are now
connected to the internet, producing vast quantities of data. Collecting and sharing this data …

PP-LEM: Efficient and Privacy-Preserving Clearance Mechanism for Local Energy Markets

K Erdayandi, MA Mustafa - Available at SSRN 4761118, 2024 - papers.ssrn.com
Local energy markets which have emerged as a promising solution to foster the use of
renewable energy sources in response to climate crisis, incentivise mechanisms for trading …