On identity, transaction, and smart contract privacy on permissioned and permissionless blockchain: A comprehensive survey

W Liang, Y Liu, C Yang, S **e, K Li, W Susilo - ACM Computing Surveys, 2024 - dl.acm.org
Blockchain is a decentralized distributed ledger that combines multiple technologies,
including chain data structures, P2P networks, consensus algorithms, cryptography, and …

An overview of reinforcement learning-based approaches for smart home energy management systems with energy storages

W Pinthurat, T Surinkaew, B Hredzak - Renewable and Sustainable Energy …, 2024 - Elsevier
The paper's state-of-the-art review focuses on an in-depth evaluation of smart home energy
management systems which employ reinforcement learning-based methods to integrate …

Review on security of federated learning and its application in healthcare

H Li, C Li, J Wang, A Yang, Z Ma, Z Zhang… - Future Generation …, 2023 - Elsevier
Artificial intelligence (AI) has led to a high rate of development in healthcare, and good
progress has been made on many complex medical problems. However, there is a lack of …

A green, secure, and deep intelligent method for dynamic IoT-edge-cloud offloading scenarios

A Heidari, NJ Navimipour, MAJ Jamali… - … : Informatics and Systems, 2023 - Elsevier
To fulfill people's expectations for smart and user-friendly Internet of Things (IoT)
applications, the quantity of processing is fast expanding, and task latency constraints are …

Federated reinforcement learning in IoT: Applications, opportunities and open challenges

EC Pinto Neto, S Sadeghi, X Zhang, S Dadkhah - Applied Sciences, 2023 - mdpi.com
The internet of things (IoT) represents a disruptive concept that has been changing society in
several ways. There have been several successful applications of IoT in the industry. For …

Blockchain-based federated learning with checksums to increase security in Internet of Things solutions

K Prokop, D Połap, G Srivastava, JCW Lin - Journal of Ambient …, 2023 - Springer
Federated learning is becoming a practical solution for machine learning (ML) in industry.
This is due to the possibility of implementing artificial intelligence (AI) systems and training …

Toward privacy preservation using clustering based anonymization: recent advances and future research outlook

A Majeed, S Khan, SO Hwang - IEEE Access, 2022 - ieeexplore.ieee.org
With the continuous increase in avenues of personal data generation, privacy protection has
become a hot research topic resulting in various proposed mechanisms to address this …

Intrusion detection system for IoHT devices using federated learning

F Mosaiyebzadeh, S Pouriyeh… - … -IEEE Conference on …, 2023 - ieeexplore.ieee.org
With the growing number of sensitive data transmit-ted in IT infrastructures, healthcare
organizations and compa-nies that generate users' wearable data have become a target for …

Enhancing privacy in cyber–physical systems: An efficient blockchain-assisted data-sharing scheme with deniability

Y Xu, Z Peng, C Zhang, G Wang, H Wang… - Journal of Systems …, 2024 - Elsevier
Abstract The data in Cyber–Physical Systems (CPSs) is currently undergoing an explosive
surge. Blockchain-based CPS exhibit enhancements in security, fault tolerance, and trust for …

A deep reinforcement learning approach for security-aware service acquisition in IoT

M Arazzi, S Nicolazzo, A Nocera - Journal of Information Security and …, 2024 - Elsevier
Abstract The emerging Internet of Things (IoT) landscape is characterized by a high number
of heterogeneous smart devices and services often provided by third parties. Although …