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 …
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 …
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 …
Deep learning methods for space situational awareness in mega-constellations satellite-based internet of things networks
F Massimi, P Ferrara, F Benedetto - Sensors, 2022 - mdpi.com
Artificial Intelligence of things (AIoT) is the combination of Artificial Intelligence (AI)
technologies and the Internet of Things (IoT) infrastructure. AI deals with the devices' …
technologies and the Internet of Things (IoT) infrastructure. AI deals with the devices' …
[HTML][HTML] Secure and privacy-preserving intrusion detection in wireless sensor networks: Federated learning with SCNN-Bi-LSTM for enhanced reliability
As the digital landscape expands rapidly due to technological advancements, cybersecurity
concerns have become more prevalent. Intrusion Detection Systems (IDSs), which are …
concerns have become more prevalent. Intrusion Detection Systems (IDSs), which are …
[Retracted] Federated Deep Learning Approaches for the Privacy and Security of IoT Systems
MB Alazzam, F Alassery… - … and Mobile Computing, 2022 - Wiley Online Library
Using federated learning, which is a distributed machine learning approach, a machine
learning model can train on a distributed data set without having to transfer any data …
learning model can train on a distributed data set without having to transfer any data …
CANSat-IDS: An adaptive distributed Intrusion Detection System for satellites, based on combined classification of CAN traffic
O Driouch, S Bah, Z Guennoun - Computers & Security, 2024 - Elsevier
The increasing dependence on satellite technology for critical applications, such as
telecommunications, Earth observation, and navigation, underscores the need for robust …
telecommunications, Earth observation, and navigation, underscores the need for robust …
Secure and privacy-preserving intrusion detection and prevention in the internet of unmanned aerial vehicles
In smart cities, unmanned aerial vehicles (UAVS) play a vital role in surveillance, monitoring,
and data collection. However, the widespread integration of UAVs brings forth a pressing …
and data collection. However, the widespread integration of UAVs brings forth a pressing …
Federated semisupervised learning for attack detection in industrial Internet of Things
Security has become a critical issue for Industry4. 0 due to different emerging cyber-security
threats. Recently, many deep learning (DL) approaches have focused on intrusion detection …
threats. Recently, many deep learning (DL) approaches have focused on intrusion detection …
PLLM-CS: Pre-trained Large Language Model (LLM) for cyber threat detection in satellite networks
Satellite networks are vital in facilitating communication services for various critical
infrastructures. These networks can seamlessly integrate with a diverse array of systems …
infrastructures. These networks can seamlessly integrate with a diverse array of systems …