Machine Learning for Cyber Security
A curated list of amazingly awesome tools and resources related to the use of machine learning for cyber security.
↑ Contributing
Please read CONTRIBUTING if you wish to add tools or resources.
↑ Datasets
- Samples of Security Related Data
- DARPA Intrusion Detection Data Sets
- Stratosphere IPS Data Sets
- Open Data Sets
- Data Capture from National Security Agency
- The ADFA Intrusion Detection Data Sets
- NSL-KDD Data Sets
- Malicious URLs Data Sets
- Multi-Source Cyber-Security Events
- Malware Training Sets: A machine learning dataset for everyone
- KDD Cup 1999 Data
- Web Attack Payloads
- WAF Malicious Queries Data Sets
- Malware Training Data Sets
- Aktaion Data Sets
- CRIME Database from DeepEnd Research
- Publicly available PCAP files
- 2007 TREC Public Spam Corpus
↑ Papers
- Fast, Lean, and Accurate: Modeling Password Guessability Using Neural Networks
- Outside the Closed World: On Using Machine Learning for Network Intrusion Detection
- Anomalous Payload-Based Network Intrusion Detection
- Malicious PDF detection using metadata and structural features
- Adversarial support vector machine learning
- Exploiting machine learning to subvert your spam filter
- CAMP – Content Agnostic Malware Protection
- Notos – Building a Dynamic Reputation System for DNS
- Kopis – Detecting malware domains at the upper dns hierarchy
- Pleiades – From Throw-away Traffic To Bots – Detecting The Rise Of DGA-based Malware
- EXPOSURE – Finding Malicious Domains Using Passive DNS Analysis
- Polonium – Tera-Scale Graph Mining for Malware Detection
- Nazca – Detecting Malware Distribution in Large-Scale Networks
- PAYL – Anomalous Payload-based Network Intrusion Detection
- Anagram – A Content Anomaly Detector Resistant to Mimicry Attacks
- Applications of Machine Learning in Cyber Security
- Data Mining для построения систем обнаружения сетевых атак (RUS)
- Выбор технологий Data Mining для систем обнаружения вторжений в корпоративную сеть (RUS)
- Нейросетевой подход к иерархическому представлению компьютерной сети в задачах информационной безопасности (RUS)
- Методы интеллектуального анализа данных и обнаружение вторжений (RUS)
- Dimension Reduction in Network Attacks Detection Systems
- Rise of the machines: Machine Learning & its cyber security applications
- Machine Learning in Cyber Security: Age of the Centaurs
- Automatically Evading Classifiers A Case Study on PDF Malware Classifiers
- Weaponizing Data Science for Social Engineering — Automated E2E Spear Phishing on Twitter
- Machine Learning: A Threat-Hunting Reality Check
- Neural Network-based Graph Embedding for Cross-Platform Binary Code Similarity Detection
- Practical Secure Aggregation for Privacy-Preserving Machine Learning
- DeepLog: Anomaly Detection and Diagnosis from System Logs through Deep Learning
↑ Books
- Data Mining and Machine Learning in Cybersecurity
- Machine Learning and Data Mining for Computer Security
- Network Anomaly Detection: A Machine Learning Perspective
- Machine Learning and Security: Protecting Systems with Data and Algorithms
- Introduction To Artificial Intelligence For Security Professionals
↑ Talks
- Using Machine Learning to Support Information Security
- Defending Networks with Incomplete Information
- Applying Machine Learning to Network Security Monitoring
- Measuring the IQ of your Threat Intelligence Feeds
- Data-Driven Threat Intelligence: Metrics On Indicator Dissemination And Sharing
- Applied Machine Learning for Data Exfil and Other Fun Topics
- Secure Because Math: A Deep-Dive on ML-Based Monitoring
- Machine Duping 101: Pwning Deep Learning Systems
- Delta Zero, KingPhish3r – Weaponizing Data Science for Social Engineering
- Defeating Machine Learning What Your Security Vendor Is Not Telling You
- CrowdSource: Crowd Trained Machine Learning Model for Malware Capability Det
- Defeating Machine Learning: Systemic Deficiencies for Detecting Malware
- Packet Capture Village – Theodora Titonis – How Machine Learning Finds Malware
- Build an Antivirus in 5 Min – Fresh Machine Learning #7. A fun video to watch
- Hunting for Malware with Machine Learning
- Machine Learning for Threat Detection
- Machine Learning and the Cloud: Disrupting Threat Detection and Prevention
- Fraud detection using machine learning & deep learning
- The Applications Of Deep Learning On Traffic Identification
- Defending Networks With Incomplete Information: A Machine Learning Approach
- Machine Learning & Data Science
- Advances in Cloud-Scale Machine Learning for Cyber-Defense
- Applied Machine Learning: Defeating Modern Malicious Documents
- Automated Prevention of Ransomware with Machine Learning and GPOs
- Learning to Detect Malware by Mining the Security Literature
- Clarence Chio and Anto Joseph - Practical Machine Learning in Infosecurity
- Advances in Cloud-Scale Machine Learning for Cyberdefense
- Machine Learning-Based Techniques For Network Intrusion Detection
- Practical Machine Learning in Infosec
- AI and Security
- AI in InfoSec
- Beyond the Blacklists: Detecting Malicious URL Through Machine Learning
- Machine Learning Fueled Cyber Threat Hunting
- Weaponizing Machine Learning: Humanity Was Overrated
↑ Tutorials
- Click Security Data Hacking Project
- Using Neural Networks to generate human readable passwords
- Machine Learning based Password Strength Classification
- Using Machine Learning to Detect Malicious URLs
- Big Data and Data Science for Security and Fraud Detection
- Using deep learning to break a Captcha system
- Data mining for network security and intrusion detection
- An Introduction to Machine Learning for Cybersecurity and Threat Hunting
- Applying Machine Learning to Improve Your Intrusion Detection System
- Analyzing BotNets with Suricata & Machine Learning
- fWaf – Machine learning driven Web Application Firewall
- Deep Session Learning for Cyber Security
- DMachine Learning for Malware Detection
- ShadowBrokers Leak: A Machine Learning Approach
- Practical Machine Learning in Infosec - Virtualbox Image and Stuff
- A Machine-Learning Toolkit for Large-scale eCrime Forensics
- WebShells Detection by Machine Learning
↑ Courses
↑ Miscellaneous
- System predicts 85 percent of cyber-attacks using input from human experts
- A list of open source projects in cyber security using machine learning
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