Secure federated learning in quantum autonomous vehicular networks

Q Xu, L Zhao, Z Su, D Fang, R Li - IEEE Network, 2023 - ieeexplore.ieee.org
With rapid developments of artificial intelligence (AI) and wireless communication
technologies, autonomous vehicular networks (AVNs) have emerged to provide convenient …

[HTML][HTML] End-to-End Service Availability in Heterogeneous Multi-Tier Cloud–Fog–Edge Networks

I Kabashkin - Future Internet, 2023 - mdpi.com
With the evolution towards the interconnected future internet spanning satellites, aerial
systems, terrestrial infrastructure, and oceanic networks, availability modeling becomes …

6AInets: Harnessing artificial intelligence for the 6G network security: Impacts and Challenges

N Kaur, N Kshetri, PS Pandey - arXiv preprint arXiv:2404.08643, 2024 - arxiv.org
This decade has witnessed the initiation of the digital revolution, as anticipated with the
advent of 5G networks. Looking ahead to the 6G communication era, considerations are …

Leveraging Network Data Analytics Function and Machine Learning for Data Collection, Resource Optimization, Security and Privacy in 6G Networks

P Gkonis, N Nomikos, P Trakadas, L Sarakis… - IEEE …, 2024 - ieeexplore.ieee.org
The full deployment of sixth-generation (6G) networks is inextricably connected with a
holistic network redesign able to deal with various emerging challenges, such as integration …

Security and Privacy in Space-Air-Ocean Integrated Unmanned Surface Vehicle Networks

H Zeng, Z Su, Q Xu, R Li - IEEE Network, 2024 - ieeexplore.ieee.org
With the development of wireless communication technologies, the space-air-ocean
integrated unmanned surface vehicle (USV) networks are significantly promising to provide …

Enabling 6G Security: The Synergy of Zero Trust Architecture and Artificial Intelligence

H Sedjelmaci, K Tourki, N Ansari - IEEE Network, 2023 - ieeexplore.ieee.org
The security of Sixth Generation (6G) technology and its services have been a focal point for
industry, academia, and governments. To safeguard this emerging technology from cyber …

Privacy-Preserving AI Framework for 6G-Enabled Consumer Electronics

X Wang, J Lyu, JD Peter, BG Kim - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
In the realm of consumer electronics for 6G communication, AI has emerged as a significant
player. However, the proliferation of devices at the edge of network causes the generation of …

New Dimensions for Physical Layer Secret Key Generation: Excursion Lengths-Based Key Generation

M Adil, HU Khan, M Arif, MS Nawaz, F Khan - IEEE Access, 2024 - ieeexplore.ieee.org
Physical Layer-based Secret Key Generation (PLSKG) between the legitimate nodes from
the reciprocal wireless channel is a vastly studied area of Physical Layer Security (PLS) …

Photonic-accelerated AI for cybersecurity in sustainable 6G networks

E Paolini, L Valcarenghi, L Maggiani… - 2023 Joint European …, 2023 - ieeexplore.ieee.org
The sixth generation (6G) of mobile communications, expected to be deployed around the
year 2030, is predicted to be characterized by ubiquitous connected intelligence. With …

Verifiable and Privacy-Preserving Cooperative Federated Learning in UAV-Assisted Vehicular Networks

Q Xu, Y Lan, Z Su, D Fang… - ICC 2023-IEEE …, 2023 - ieeexplore.ieee.org
Federated learning (FL) is a promising distributed learning paradigm, which enables
devices to collaboratively train an AI model without exposing participants' private data …