This repository contains an in-depth analysis of the Intrusion Detection Evaluation Dataset (CIC-IDS2017) for Intrusion Detection, showcasing the implementation and comparison of different machine …

Using SHAP values as feature selection mechanism

This jupyter notebook applies the BorutaShap feature selection technique to some data

Feature selection using Shapley Improved grey wolf optimizer for optimizing cancer classification

This repository contains code for training a YOLO (You Only Look Once) model on a custom dataset using the State Farm Distracted Driver Detection Dataset

Driving_Monitoring_System : 운전자 졸음 감지 및 이상 행동 감지 / 이상 행동 감지를 위한 detection 모델 학습시키기

Distraction detection and alert based on a custom dataset

基于改进mobilevitv3的微表情识别系统（源码＆教程）

implementation of a hybrid particle sewarm optimization for feature subset selection by integrating a novel local search strategy

A novel binary horse herd optimization algorithm for feature selection problem

A binary feature selection model using Genetic Algorithm. This feature selection model is helpful in ML (classification task) for selecting the optimal features, thus improving the classification a…

This project is a method proposed in the paper "An ensemble framework with improved hybrid breeding optimization-based feature selection for intrusion detection", authorized by the author to be ope…

Let us Unveil Network Intrusion Features: Enhancing Network Intrusion Detection Systems via XAI-based Feature Selection

This project aims to characterize the incoming traffic in an IoT (Internet of Things) environment using Machine Learning and Deep Learning Techniques. We have utilized the Bot-IoT dataset created i…

Enhanced IoT security by assessing machine learning algorithms, achieving a improvement in network forensic

Notebook for performing network intrusion detection on the CICIDS-2018 dataset and using ShapLey to corroborate the feature importance

一个毕业设计项目，由于个人不小心删除了源代码，故采用GitHub托管代码。

IoT-SDN Intrusion Detection System (IDS) Dataset and Analysis

网络入侵检测

This repository contains code for paper "Federated PCA on Grassmann Manifold: Convergence Analysis and Advancements in IoT Anomaly Detection"

The proposed hybrid IDS is tested on two public network datasets, the CSE-CIC-IDS2018 and the TON IoT datasets, representing internal and external network traffic data. Various measures, such as ac…

This is a CNN model for prediction of cyber attack, trained using NSL-KDD dataset

This repository presents the implemetation of a highly optimized Deep Transfer Learning (DTL) and Genetic Algorithm (GA) based intrusion detection framework.

Reproduce the code of papers related to the field of NIDS(network intrusion detection system).入侵检测领域的相关论文复现/适配本地PC后的代码.