IEEE

MTSecurity: Privacy-Preserving Malicious Traffic Classification Using Graph Neural Network and Transformer

Abstract: Encrypting network traffic is an effective means of safeguarding user privacy and sensitive information. However, it also introduces potential vulnerabilities that can be exploited by ...
GitHub

This repository is the official implementation of the IJCNN2025 paper: "Using Domain Adapter and Prompt Learner for Few-shot Teaching Action Recognition in videos"

Create a conda environment and install dependencies: conda create -n TBA-CLIPNet python=3.11 conda activate TBA-CLIPNet # Install the according versions of torch and ...
IEEE

A Comparative Study of Using Deep Learning Algorithms in Network Intrusion Detection

Abstract: This study introduces a deep learning approach for network intrusion detection (NIDS), which excels in both binary and multi-classification tasks. This approach combines the strengths of six ...
GitHub

IRIB University Telecommunications Networks Final Project

SDN Framework is a comprehensive, high-fidelity simulation platform for Software-Defined Networking (SDN) architectures, providing a unified environment for OpenFlow-based network analysis and ...