Blockchain-Enabled Federated Reinforcement Learning (B-FRL) model for privacy preservation service in IoT systems

T Alam, R Gupta, A Ullah, S Qamar - Wireless Personal Communications, 2024 - Springer
The rapid explosion of Internet of Things (IoT) devices has resulted in extraordinary data
generation, necessitating advanced methods for data processing and privacy preservation …

[HTML][HTML] An AI-Driven Model to Enhance Sustainability for the Detection of Cyber Threats in IoT Environments

MH Alsulami - Sensors, 2024 - mdpi.com
In the face of constantly changing cyber threats, a variety of actions, tools, and regulations
must be considered to safeguard information assets and guarantee the confidentiality …

Cross-organizational data exchange based on consortium blockchain with consistency guarantee

Q Geng, Z Chuai, J ** - The Journal of Supercomputing, 2024 - Springer
Effective data exchange holds the potential to bridge information gaps between
organizations, creating essential prerequisites for enhanced collaboration. However, in …

A Malware Detection Method Based On Genetic Algorithm Optimized CNN-Senet Network

Z Yang, H Zhu, Z Li, G Wang, M Su - IEEE Access, 2024 - ieeexplore.ieee.org
In recent years, convolutional neural network (CNN) has achieved great success in the field
of network security protection. With the popularization of smart terminals and the gradual …

Blockchain and Trustworthy Reputation for Federated Learning: Opportunities and Challenges

F Javed, J Mangues-Bafalluy… - 2024 IEEE …, 2024 - ieeexplore.ieee.org
In the domain of Collaborative Artificial Intelligence, Federated Learning (FL) is a technique
that enables multiple entities to collaboratively refine AI models while adhering to stringent …

基于拟态防御和 Paillier 加密的智能物联网终端安全防护方法

顾天晟, 曾福康, 邵思思, 聂一君, 纪宗凯… - 网络与信息安全 …, 2024 - infocomm-journal.com
智能物联网具有高灵活性, 自适应性, 持续演化等特性, 为用户带来更加极致的体验的同时也带来
了新的挑战, 智能物联网难以杜绝的未知漏洞和后门等不确定威胁导致的物联网边域智能终端内 …