Endogenous security-aware resource management for digital twin and 6G edge intelligence integrated smart park

S Zhang, Z Yao, H Liao, Z Zhou, Y Chen… - China …, 2023 - ieeexplore.ieee.org
The integration of digital twin (DT) and 6G edge intelligence provides accurate forecasting
for distributed resources control in smart park. However, the adverse impact of model …

Secure and latency-aware digital twin assisted resource scheduling for 5G edge computing-empowered distribution grids

Z Zhou, Z Jia, H Liao, W Lu, S Mumtaz… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
Digital twin (DT) provides accurate guidance for multidimensional resource scheduling in 5G
edge computing-empowered distribution grids by establishing a digital representation of the …

When Moving Target Defense Meets Attack Prediction in Digital Twins: A Convolutional and Hierarchical Reinforcement Learning Approach

T Zhang, C Xu, Y Lian, H Tian, J Kang… - IEEE Journal on …, 2023 - ieeexplore.ieee.org
With rapid development of emerging technologies for Internet of Things (IoT), digital twins
(DT) have been proposed to support a wide variety of applications. A mobile network is …

[HTML][HTML] Security defense strategy algorithm for Internet of Things based on deep reinforcement learning

X Feng, J Han, R Zhang, S Xu, H Xia - High-Confidence Computing, 2024 - Elsevier
Currently, important privacy data of the Internet of Things (IoT) face extremely high risks of
leakage. Attackers persistently engage in continuous attacks on terminal devices to obtain …

Digital twin-empowered smart attack detection system for 6g edge of things networks

Y Yigit, C Chrysoulas, G Yurdakul, L Maglaras… - arXiv preprint arXiv …, 2023 - arxiv.org
As global Internet of Things (IoT) devices connectivity surges, a significant portion gravitates
towards the Edge of Things (EoT) network. This shift prompts businesses to deploy …

Secure deep learning in defense in deep-learning-as-a-service computing systems in digital twins

Z Lv, D Chen, B Cao, H Song… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
While Digital Twins (DTs) bring convenience to city managers, they also generate new
challenges to city network security. Currently, cyberspace security becomes increasingly …

Federated reinforcement learning-based resource allocation for D2D-aided digital twin edge networks in 6G industrial IoT

Q Guo, F Tang, N Kato - IEEE Transactions on Industrial …, 2022 - ieeexplore.ieee.org
The sixth generation (6G) is conceived to address the expected high level of requirements
(such as ultra-high-data-transmission rate, support for the highest moving speed and …

Defense against advanced persistent threats in smart grids: A reinforcement learning approach

B Ning, L Xiao - 2021 40th Chinese Control Conference (CCC), 2021 - ieeexplore.ieee.org
In smart girds, supervisory control and data acquisition (SCADA) systems have to protect
data from advanced persistent threats (APTs), which exploit vulnerabilities of the power …

Cloud-edge-client collaborative learning in digital twin empowered mobile networks

L Zhao, S Ni, D Wu, L Zhou - IEEE Journal on Selected Areas …, 2023 - ieeexplore.ieee.org
Digital twin (DT) has emerged as a key enabler for the intelligent-oriented evolution of
mobile networks. With the rise of privacy concerns for enabling intelligent applications in DT …

Convoy_DTN: A security interaction engine design for Digital Twin Network

M Chen, J Shao, S Guo, L Su… - 2021 IEEE Globecom …, 2021 - ieeexplore.ieee.org
A digital twin is a real-time representation of physical assets in a digital world. In future 6G
networks, digital twin as the key technology will be widely used in intelligent manufacturing …