This is the Definitive Security Data Science and Machine Learning Guide. It includes books, tutorials, presentations, blog posts, and research papers about solving security problems using data science.

Table of Contents

Machine Learning and Security Papers

Intrusion Detection Papers

Malware Papers

Data Collection Papers

Vulnerability Analysis/Reversing Papers

Anonymity/Privacy/OPSEC/Censorship Papers

Data Mining Papers

Cyber Crime Papers

CND/CNA/CNE/CNO Papers

Deep Learning and Security Papers

Deep Learning and Security Presentations

Security Data Science Blogs

Blogs that frequently cover topics on security data science, machine learning, etc. These are recommended for your RSS feed.

Security Data Science Blogposts / Tutorials

Security Data Science Projects

Open source projects and code applying data science/machine learning to security problems.

Clearcut - a tool that uses machine learning to help you focus on the log entries that really need manual review

Click Security’s Data Hacking Project

Combine - Tool to gather Threat Intelligence indicators from publicly available sources

dga_predict - Predicting Domain Generation Algorithms using LSTMs.

mlsec.org - Various Machine Learning and Computer Security Research projects from mlsec.org.

tiq-test - Threat Intelligence Quotient Test - Dataviz and Statistical Analysis of TI feeds.

CuckooML: Machine Learning for Cuckoo Sandbox https://honeynet.github.io/cuckooml/

Security Data

Collection of Security and Network Data Resources.

Security Data Science Books

Security Data Science Presentations / Talks

Misc