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


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.

Security Data

Collection of Security and Network Data Resources.

Security Data Science Books

Security Data Science Presentations / Talks


6 Short Links on PDNS Graph Analytics for Security

A short listing of recent papers I've read or plan to read using passive DNS data and graph analytics for identifying malicious domains Continue reading

Deep Learning Security Papers

Published on December 29, 2016