AD Security Intrusion Detection System

Slips, a free software behavioral Python intrusion prevention system (IDS/IPS) that uses machine learning to detect malicious behaviors in the network traffic. Stratosphere Laboratory, AIC, FEL, CVUT in Prague.

UnSupervised and Semi-Supervise Anomaly Detection / IsolationForest / KernelPCA Detection / ADOA / etc.

This is the repo of the research paper, "Evaluating Shallow and Deep Neural Networks for Network Intrusion Detection Systems in Cyber Security".

RequestShield is a 100% Free and OpenSource tool designed to analyze HTTP access.logs and identify suspicious HTTP requests and potential security threats. It uses factors like geolocation, abuse history, request volume, and suspicious request paths to assign a risk score to each IP, providing actionable insights for security monitoring.

Simple Implementation of Network Intrusion Detection System. KddCup'99 Data set is used for this project. kdd_cup_10_percent is used for training test. correct set is used for test. PCA is used for dimension reduction. SVM and KNN supervised algorithms are the classification algorithms of project. Accuracy : %83.5 For SVM , %80 For KNN

Real-time Intrusion Detection System implementing Machine Learning. We combine Supervised Learning (RF) for detecting known attacks from CICIDS 2018 & SCVIC-APT datasets, and Unsupervised Learning (AE) for anomaly detection.

source code for USENIX Security paper xNIDS

ebpH (Extended BPF Process Homeostasis) monitors process behavior on your system to establish normal behavioral patterns. ebpH reports anomalous behavior and prevents attacks by denying anoamlous access requests.

Whenever founds internet connectivity confirms is it you, if not log you off and send you image of intruder.

Federated Learning for Intrusion Detection System using the Flower framework and UNSW_NB15 dataset.

SNORT GUI: sniff sniffs the baddies and helps you setup SNORT ids in your network

Adversarial Machine Learning applications on network-based Intrusion Detection System (IDS).

Intrusion Detection System - IDS example using Dense, Conv1d and Lstm layers in Keras / TensorFlow

An intrusion detection system prototype for attacks on automobile CAN buses.

Network data classifier based on the recurrent neural network.

💻 Network System Intrusion Detection using Graph Neural Networks

CANShield: Deep Learning-Based Intrusion Detection Framework for Controller Area Networks at the Signal-Level

Intrusion detection engine for Cloud Systems built using Alternative Fuzzy C-mean Clustering and Artificial Neural Network

Code for paper: Contrastive Learning Enhanced Intrusion Detection