Jun 7, 2018 · In this paper we propose a flexible and novel satellite network intrusion detection system framework based on based on deep learning technology.
Nov 21, 2024 · In this paper we propose a flexible and novel satellite network intrusion detection system framework based on based on deep learning technology.
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Sep 4, 2023 · Four hybrid intrusion detection systems for satellite-terrestrial communication systems (SAT-IDSs) are proposed in this paper.
Thus, this paper employs deep learning anomaly detection techniques [9] to reinforce and enhance traditional trust models, forming a novel intelligent security ...
This study presents a robust and generalized deep learning-based intrusion detection approach for terrestrial and satellite network environments. The increase ...
Three different models were proposed to detect intrusions in the IIoT network by using deep learning architectures of Convolutional Neural Network (CNN), Long ...
This paper briefly reviews the application of the Software-defined Networking (SDN) architecture to satellite networks. It highlights the prominent cyber ...
This repository provides an exhaustive overview of deep learning techniques specifically tailored for satellite and aerial image processing.
Feb 15, 2024 · Network Intrusion Detection System (NIDS) is a security tool that analyzes network data flows to detect threats and prevent malicious requests [ ...
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Deep Learning Based Hybrid Intrusion Detection Systems to Protect Satellite Networks · A Smart Secure model for Detection of DDoS Malicious Traces in Integrated ...