[HTML][HTML] Unleashing the power of internet of things and blockchain: A comprehensive analysis and future directions
A Rejeb, K Rejeb, A Appolloni, S Jagtap… - Internet of Things and …, 2024 - Elsevier
As the fusion of the Internet of Things (IoT) and blockchain technology advances, it is
increasingly shaping diverse fields. The potential of this convergence to fortify security …
increasingly shaping diverse fields. The potential of this convergence to fortify security …
Integrating forecasting service and Gen2 blockchain into a local energy trading platform to promote sustainability goals
Peer-to-peer (P2P) trading in a local energy market (LEM) offers various participants the
opportunity to negotiate and strike energy deals among themselves using a distributed …
opportunity to negotiate and strike energy deals among themselves using a distributed …
Exploring the Synergy of Fog Computing, Blockchain, and Federated Learning for IoT Applications: A Systematic Literature Review
The proliferation of Internet of Things (IoT) applications poses formidable challenges in
managing data processing, privacy, and security. In response, technologies such as Fog …
managing data processing, privacy, and security. In response, technologies such as Fog …
Securing smart manufacturing by integrating anomaly detection with zero-knowledge proofs
In the rapidly advancing domain of smart manufacturing, securing data integrity and
preventing unauthorized access are critical challenges. This study introduces a novel …
preventing unauthorized access are critical challenges. This study introduces a novel …
A bibliometric analysis of technology in digital health: Exploring health metaverse and visualizing emerging healthcare management trends
The digital economy has engendered Health Metaverse, an innovative technology with vast
potential to transform healthcare through immersive experiences. The Health Metaverse …
potential to transform healthcare through immersive experiences. The Health Metaverse …
An adaptive privacy protection framework for user energy data using dictionary learning and watermarking techniques
H Chen, W Guo, K Sun, X Wang, S Wang, L Guo - Applied Energy, 2024 - Elsevier
With the rise of user energy consumption data as a significant data asset, data privacy has
emerged as a critical concern. To address users' diverse attitudes towards data sharing and …
emerged as a critical concern. To address users' diverse attitudes towards data sharing and …
[HTML][HTML] Threat hunting system for protecting critical infrastructures using a machine learning approach
M Aragonés Lozano, I Pérez Llopis, M Esteve Domingo - Mathematics, 2023 - mdpi.com
Cyberattacks are increasing in number and diversity in nature daily, and the tendency for
them is to escalate dramatically in the forseeable future, with critical infrastructures (CI) …
them is to escalate dramatically in the forseeable future, with critical infrastructures (CI) …
Enhanced Lightweight Medical Sensor Networks Authentication Scheme Based on Blockchain
T Kang, N Woo, J Ryu - IEEE Access, 2024 - ieeexplore.ieee.org
In the rapidly evolving environment of wireless medical sensor networks (WMSN) and the
internet of medical things (IoMT), remote medical support has seen unprecedented …
internet of medical things (IoMT), remote medical support has seen unprecedented …
A Semi-decentralized PKI based on Blockchain with a Stake-based Reward-Punishment Mechanism
The conventional Public Key Infrastructure (PKI) has long been plagued by security issues
stemming from its centralized and non-transparent design. In recent years, blockchain …
stemming from its centralized and non-transparent design. In recent years, blockchain …
Multimodal sentiment analysis leveraging the strength of deep neural networks enhanced by the XGBoost classifier
G Chandrasekaran, S Dhanasekaran… - Computer Methods in …, 2024 - Taylor & Francis
Multimodal sentiment analysis, an increasingly vital task in the realms of natural language
processing and machine learning, addresses the nuanced understanding of emotions and …
processing and machine learning, addresses the nuanced understanding of emotions and …