Network Intrusion Detection System using Machine Learning

Analyzes network traffic and tells whether the query is normal or a type of attack. 3 classifiers are built and tested: Naive Bayes, Decision Trees, Random Forests, Followed by a complete visualization of results

The product is developed as a part of the final year project. It is aimed at providing an architecture and open source code to developers so that they can embed this into their applications to enhance the security. The services provided are top notch and cover the broad spectrum of computer and network security. All the features of the product i…

Contains some papers on Keystroke Biometric Authentcation, Network Intrusion Detction and Alcatraz

Network intrusions classification using algorithms such as Support Vector Machine (SVM), Decision Tree, Naive Baye, K-Nearest Neighbor (KNN), Logistic Regression and Random Forest.

Assess various ML algorithms on KDD99 network dataset then apply the best algorithm (Random Forest) using R.

passive device fingerprinting api for network intrustion detection

Implemented a network intrusion detection system for a software defined network using Random Forest method for classification of port and flow statistics.

Intrusion Detection

The aim of the project is to detect the intrusion in network. The dataset link has been mentioned below.

Network Intrusion Detection KDDCup '99', NSL-KDD and UNSW-NB15

The given information of network connection, model predicts if connection has some intrusion or not. Binary classification for good and bad type of the connection further converting to multi-class classification and most prominent is feature importance analysis.

Network Intrusion Detection in an Adversarial setting

Regression , Classification and Segmentation projects

Machine Learning with the NSL-KDD dataset for Network Intrusion Detection

WHU毕业设计，基于欠采样-随机森林的入侵检测模型。A simple WHU graduation project. Thank you Wuhan University.

Neural Network based Intrusion Detection System (NIDS) on Intrusion Detection Evaluation Dataset (CICIDS2017)

Welcome to my Individual Project for Codeup: Network Intrusion Detection. The goal was to build a machine learning model to detect anomalous behavior. Data courtesy of Kaggle.

Network Intrusion Detection based on various machine learning and deep learning algorithms using UNSW-NB15 Dataset