A systematic analysis of enhancing cyber security using deep learning for cyber physical systems
In this current era, cyber-physical systems (CPSs) have gained concentrated consideration
in various fields because of their emergent applications. Though the robust dependence on …
in various fields because of their emergent applications. Though the robust dependence on …
[HTML][HTML] Federated reinforcement learning based task offloading approach for MEC-assisted WBAN-enabled IoMT
The exponential proliferation of wearable medical apparatus and healthcare information
within the framework of the Internet of Medical Things (IoMT) introduces supplementary …
within the framework of the Internet of Medical Things (IoMT) introduces supplementary …
An innovative multi-agent approach for robust cyber–physical systems using vertical federated learning
Federated learning presents a compelling approach to training artificial intelligence systems
in decentralized settings, prioritizing data safety over traditional centralized training …
in decentralized settings, prioritizing data safety over traditional centralized training …
A hybrid secure resource allocation and trajectory optimization approach for mobile edge computing using federated learning based on WEB 3.0
The use of unmanned aerial vehicles (UAVs) in Internet-of-Things (IoT) has grown, but
security for UAV communications still a challenge due to the distributed nature of line-of …
security for UAV communications still a challenge due to the distributed nature of line-of …
Towards an optimal 3-D design and deployment of 6G UAVs for interference mitigation under terrestrial networks
Unmanned aerial vehicles (UAVs) have opened new communication possibilities by being
able to access remote areas. Their ability to serve a large number of users based on …
able to access remote areas. Their ability to serve a large number of users based on …
A Hybrid Task Offloading and Resource Allocation Approach For Digital Twin-Empowered UAV-Assisted MEC Network Using Federated Reinforcement Learning For …
Federated learning (FL) is proposed as a different approach for distributed learning on the
edges while maintaining privacy. Existing FL methods, are mainly focused on learning deep …
edges while maintaining privacy. Existing FL methods, are mainly focused on learning deep …
SWIPT and uplink NOMA approach for self energy recycling in full-duplex enabled D2D network
Simultaneous wireless information and power transfer (SWIPT) is a method through which
users can simultaneously obtain energy and receive data from the base station (BS). This …
users can simultaneously obtain energy and receive data from the base station (BS). This …
Task Offloading in AIoT-Enabled UAV-Assisted MEC Network: A Digital Twin-Empowered Approach With FedRL
The computationally intensive tasks generated by AIoTD face challenges due to its
limitations in battery power and computing capabilities. These devices typically operate in …
limitations in battery power and computing capabilities. These devices typically operate in …
Energy-Efficient Distributed Learning for NOMA-Based Unmanned Aerial Agent-assisted MEC Networks
The Internet of Things (IoT) has become a revolutionary concept that connects various
devices and systems to enable smooth communication and data exchange. In this vast …
devices and systems to enable smooth communication and data exchange. In this vast …
Novel and Efficient Rainbow Signature Scheme Based on Circulant and Toeplitz Matrices for Intelligent IoT
Y Gao, W Feng, L He, M Dong - IEEE Internet of Things Journal, 2024 - ieeexplore.ieee.org
Quantum computing increases the security risks of data in intelligent Internet of Things (IoT)
based on traditional cryptography. Multivariate Public Key Cryptography has the security …
based on traditional cryptography. Multivariate Public Key Cryptography has the security …