opensci-hub / Awesome-ML-Cybersecurity
Machine Learning For Cybersecurity.
☆65Updated 5 years ago
Alternatives and similar repositories for Awesome-ML-Cybersecurity:
Users that are interested in Awesome-ML-Cybersecurity are comparing it to the libraries listed below
- Hands-On Machine Learning for Cybersecurity, published by Packt☆192Updated 2 years ago
- Use machine learning to classify malware. Malware analysis 101. Set up a cybersecurity lab environment. Learn how to tackle data class im…☆16Updated 4 years ago
- Hands-On Artificial Intelligence for Cybersecurity, publised by Packt☆147Updated 2 years ago
- A list of cybersecurity projects that use machine learning techniques☆61Updated 8 years ago
- ☆15Updated 8 years ago
- Machine Learning for Cybersecurity Cookbook, published by Packt☆334Updated last year
- AI-enabled Cybersecurity for Future Smart Environments☆23Updated 7 months ago
- Awesome list of AI for cybersecurity including network (network traffic analysis and intrusion detection), endpoint (anti-malware), appli…☆129Updated last year
- Machine Learning for Network Intrusion Detection & Misc Cyber Security Utilities☆204Updated 11 months ago
- Public datasets to help you address various cyber security problems.☆408Updated 3 years ago
- A collection of resources for security data☆41Updated 7 years ago
- This project contains files for cyber security☆34Updated 6 years ago
- Applied data science in cyber security☆22Updated 3 years ago
- Cyber Attack Detection thanks to Machine Learning Algorithms☆102Updated 5 years ago
- Machine Learning applied to Cyber Security Course☆43Updated 5 years ago
- Attempt to use the machine learning workflow to process and transform sampled PE file data to create a prediction model.☆40Updated 3 years ago
- Machine learning algorithms applied on log analysis to detect intrusions and suspicious activities.☆155Updated last year
- Identify malicious behavior and attacks using Machine Learning with Python☆48Updated 8 years ago
- Anomaly detection in network traffic and event logs using deep learning (w/ Pytorch)☆63Updated 6 years ago
- This is a five-step framework for the development of intrusion detection systems (IDS) using machine learning (ML) considering model real…☆51Updated 3 years ago
- This Network Intrusion Detection System (IDS) is network-based, and it will receive suspicious packet capture files from a network monito…☆14Updated last year
- Developed an Anomaly-based intrusion detection system using Multi Level Perceptron☆20Updated 4 years ago
- Malware Data Science Reading Diary / Notes☆127Updated 5 years ago
- ☆12Updated last year
- A completely automated anomaly detector Zeek network flows files (conn.log).☆76Updated 7 months ago
- Cybersecurity of Machine Learning and Artificial Intelligence☆69Updated 3 years ago
- Mastering Machine Learning for Penetration Testing, published by Packt☆364Updated 2 years ago
- Network Intrusion Detection System using Deep Learning Techniques☆154Updated 5 years ago
- ML based intrusion detection system☆19Updated 3 years ago
- Machine Learning for Cyber Security☆28Updated 3 years ago