sleetymattgeorge/Deep-Learning-Evaluation-of-IDS-Datasets
Deep Model Intrusion Detection (IDS) Evaluation of NSL KDD and CIC IDS 2018 datasets.
This project helps cybersecurity researchers and network security analysts evaluate how well deep learning models can detect intrusions in network traffic. It takes standard intrusion detection datasets, specifically NSL KDD and CIC IDS 2018, and applies deep learning models to assess their performance in identifying cyber threats. The output provides insights into the effectiveness of these models for enhancing network security.
No commits in the last 6 months.
Use this if you are a cybersecurity researcher or analyst looking to benchmark deep learning models against established intrusion detection datasets to understand their efficacy.
Not ideal if you are a network administrator needing a live, deployable intrusion detection system for a production environment.
Stars
19
Forks
1
Language
Jupyter Notebook
License
MIT
Category
Last pushed
May 10, 2023
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/sleetymattgeorge/Deep-Learning-Evaluation-of-IDS-Datasets"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
AIS-Package/aisp
Artificial Immune Systems Package (AISP) is an open-source Python library that features...
ubc-provenance/PIDSMaker
A framework for building provenance-based intrusion detection systems with neural networks
Western-OC2-Lab/Intrusion-Detection-System-Using-Machine-Learning
Code for IDS-ML: intrusion detection system development using machine learning algorithms...
zimingttkx/Network-Security-Based-On-ML
基于机器学习的网络安全检测系统 | 集成Kitsune/LUCID算法 | 支持ML/DL/RL模型 | 99.58%攻击检测准确率 | 19913 QPS | Docker/K8s部署
abhinav-bhardwaj/Network-Intrusion-Detection-Using-Machine-Learning
A Novel Statistical Analysis and Autoencoder Driven Intelligent Intrusion Detection Approach