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On identity, transaction, and smart contract privacy on permissioned and permissionless blockchain: A comprehensive survey
Blockchain is a decentralized distributed ledger that combines multiple technologies,
including chain data structures, P2P networks, consensus algorithms, cryptography, and …
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
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 …
management systems which employ reinforcement learning-based methods to integrate …
Review on security of federated learning and its application in healthcare
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 …
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
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 …
applications, the quantity of processing is fast expanding, and task latency constraints are …
Federated reinforcement learning in IoT: Applications, opportunities and open challenges
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 …
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
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 …
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
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 …
become a hot research topic resulting in various proposed mechanisms to address this …
Intrusion detection system for IoHT devices using federated learning
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 …
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 …
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
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 …
of heterogeneous smart devices and services often provided by third parties. Although …