Distributed network intrusion detection system in satellite-terrestrial integrated networks using federated learning
The existing satellite-terrestrial integrated networks (STINs) suffer from security and privacy
concerns due to the limited resources, poor attack resistance and high privacy requirements …
concerns due to the limited resources, poor attack resistance and high privacy requirements …
DFSat: Deep federated learning for identifying cyber threats in IoT-based satellite networks
The integration of satellite systems with smart computing and networking technologies, such
as the Internet of Things (IoT), has intensely augmented sophisticated cyberattacks against …
as the Internet of Things (IoT), has intensely augmented sophisticated cyberattacks against …
Deep learning based hybrid intrusion detection systems to protect satellite networks
Despite the fact that satellite-terrestrial systems have advantages such as high throughput,
low latency, and low energy consumption, as well as low exposure to physical threats and …
low latency, and low energy consumption, as well as low exposure to physical threats and …
Federated learning-assisted distributed intrusion detection using mesh satellite nets for autonomous vehicle protection
M Al-Hawawreh, MS Hossain - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The widespread use of intelligent consumer electronics, specifically autonomous vehicles,
has exponentially increased. The key enablers of this pervasive are the Internet of Things …
has exponentially increased. The key enablers of this pervasive are the Internet of Things …
A deep learning-based smart framework for cyber-physical and satellite system security threats detection
An intrusion detection system serves as the backbone for providing high-level network
security. Different forms of network attacks have been discovered and they continue to …
security. Different forms of network attacks have been discovered and they continue to …
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 …
SDN-based federated learning approach for satellite-IoT framework to enhance data security and privacy in space communication
The proliferation of IoT devices and integration of machine learning technologies paved the
path towards automation in various sectors such as manufacturing, communication …
path towards automation in various sectors such as manufacturing, communication …
Machine-learning-enabled intrusion detection system for cellular connected UAV networks
R Shrestha, A Omidkar, SA Roudi, R Abbas, S Kim - Electronics, 2021 - mdpi.com
The recent development and adoption of unmanned aerial vehicles (UAVs) is due to its wide
variety of applications in public and private sector from parcel delivery to wildlife …
variety of applications in public and private sector from parcel delivery to wildlife …
A new Intelligent Satellite Deep Learning Network Forensic framework for smart satellite networks
By combining the Internet of Things (IoT) and Artificial Intelligence (AI), new augmentations
and enhancements are realized, resulting in environment-aware systems that can enable …
and enhancements are realized, resulting in environment-aware systems that can enable …
Federated continuous learning based on stacked broad learning system assisted by digital twin networks: An incremental learning approach for intrusion detection in …
The edge of the Internet of Things (IoT), which consists of unmanned aerial vehicles (UAVs),
is vulnerable to network intrusion because software and wireless connections are used …
is vulnerable to network intrusion because software and wireless connections are used …