This study presents an innovative methodology that combines Generative Adversarial Networks (GANs) with knowledge distillation strategies to amplify the ...

Lightweight Intrusion Detection System with GAN-Based Knowledge Distillation ... Hinton, Distilling the knowledge in a neural network. About this ...

Article "Lightweight Intrusion Detection System with GAN-Based Knowledge Distillation" Detailed information of the J-GLOBAL is an information service ...

This paper proposes a lightweight intrusion detection model called TFTKD, based on Convolutional Neural Networks (CNN) and knowledge distillation.

We propose a lightweight intrusion detection approach based on self-knowledge distillation, namely LNet-SKD, which achieves the trade-off between accuracy and ...

Oct 14, 2024 · lightweight intrusion detection system for internet of vehicles based on transfer learning and MobileNetV2 with hyper-parameter optimization.

Nov 1, 2024 · Lightweight intrusion detection model based on CNN and knowledge distillation ... A GAN and Feature Selection-Based Oversampling Technique ...

Missing: GAN- | Show results with:GAN-

We propose a Spatial-Temporal Knowledge Distillation (STKD) algorithm framework for lightweight network traffic anomaly detection to tackle the challenges.

In this paper, we investigated a new scheme to effectively deploy an IDS harnessing Knowledge Distillation for deep learning models to detect attacks in 5G-V2X ...