A survey on space-air-ground-sea integrated network security in 6G
Space-air-ground-sea integrated network (SAGSIN), which integrates satellite
communication networks, aerial networks, terrestrial networks, and marine communication …
communication networks, aerial networks, terrestrial networks, and marine communication …
Federated learning for intrusion detection system: Concepts, challenges and future directions
The rapid development of the Internet and smart devices trigger surge in network traffic
making its infrastructure more complex and heterogeneous. The predominated usage of …
making its infrastructure more complex and heterogeneous. The predominated usage of …
Federated deep learning for zero-day botnet attack detection in IoT-edge devices
Deep learning (DL) has been widely proposed for botnet attack detection in Internet of
Things (IoT) networks. However, the traditional centralized DL (CDL) method cannot be …
Things (IoT) networks. However, the traditional centralized DL (CDL) method cannot be …
Federated deep learning for cyber security in the internet of things: Concepts, applications, and experimental analysis
In this article, we present a comprehensive study with an experimental analysis of federated
deep learning approaches for cyber security in the Internet of Things (IoT) applications …
deep learning approaches for cyber security in the Internet of Things (IoT) applications …
Federated learning for 6G-enabled secure communication systems: a comprehensive survey
Abstract Machine learning (ML) and Deep learning (DL) models are popular in many areas,
from business, medicine, industries, healthcare, transportation, smart cities, and many more …
from business, medicine, industries, healthcare, transportation, smart cities, and many more …
PPSS: A privacy-preserving secure framework using blockchain-enabled federated deep learning for industrial IoTs
The growing reliance of industry 4.0/5.0 on emergent technologies has dramatically
increased the scope of cyber threats and data privacy issues. Recently, federated learning …
increased the scope of cyber threats and data privacy issues. Recently, federated learning …
The evolution of federated learning-based intrusion detection and mitigation: a survey
In 2016, Google introduced the concept of Federated Learning (FL), enabling collaborative
Machine Learning (ML). FL does not share local data but ML models, offering applications in …
Machine Learning (ML). FL does not share local data but ML models, offering applications in …
Hybrid centralized and distributed learning for MEC-equipped satellite 6G networks
TK Rodrigues, N Kato - IEEE Journal on Selected Areas in …, 2023 - ieeexplore.ieee.org
For future networks in the 6G, it will be important to maintain a ubiquitous connection, bring
processing heavy applications to remote areas, and analyze big amounts of data to …
processing heavy applications to remote areas, and analyze big amounts of data to …
Revolutionizing future connectivity: A contemporary survey on AI-empowered satellite-based non-terrestrial networks in 6G
Non-Terrestrial Networks (NTN) are expected to be a critical component of 6th Generation
(6G) networks, providing ubiquitous, continuous, and scalable services. Satellites emerge as …
(6G) networks, providing ubiquitous, continuous, and scalable services. Satellites emerge as …
Deep federated learning-based threat detection model for extreme satellite communications
Satellite communications (Satcoms), whether ground-to-space or intersatellite, have, to date,
primarily combined the two cutting-edge fields of communication and space, in which …
primarily combined the two cutting-edge fields of communication and space, in which …