Static Library For Windows Drivers

Yara powered NIDS with high speed packet capture powered by PF_RING

Cyber Security: Development of Network Intrusion Detection System (NIDS), with Machine Learning and Deep Learning (RNN) models, MERN web I/O System. The deployed project link is as follows.

A method for grouping, clustering, and merging semi-structured alerts

A website and framework for testing NIDS detection

Cyber Security: Development of Network Intrusion Detection System (NIDS), with Machine Learning and Deep Learning, Recurrent Neural Network models, MERN web I/O System.

This paper propose a self-supervised graph representing learning method named NEGSC, to identify the types of network intrusion attacks for edge-sensitive net flow traffic.

setup zeek, previously Bro IDS

Using machine learning with Netflow data, to detect anomalous events on a network. Thus proving the feasibility to prevent zero day attacks with Network Intrusion Dection Systems combined with machine learning. Using a data pipleine with AWS S3, EC2, RDS, Docker, Airflow, Tensorflow and more.

Scripts to deploy virtual testbed for log data analysis and anomaly detection.

This class allows to efficiently convert bigger than memory pcap files to a labeled feature-per-byte dataset in parquet format

IDS using an Artificial Neural Network.

Hyperparameter Optimization for 1D-CNN-Based Network Intrusion Detection Using GA and PSO

Cyber Security: Development of Network Intrusion Detection System (NIDS), with Machine Learning and Deep Learning (RNN) models, MERN web I/O System.

Download UNSW-NB15 and CIC-IDS2017 Datasets for Network Intrusion Detection (NIDS)

Tag Generation and Text Generation Inference for Network Packets using Transformers

Firewall and ML-based NIDS developed for Network Security project 2023

Deep Model Intrusion Detection (IDS) Evaluation of NSL KDD and CIC IDS 2018 datasets.

Real Intelligence Threat Analytics