Update (1/1/2017): I will not be updating this page and instead will make all updates to this page: The Definitive Security Data Science and Machine Learning Guide (see Machine Learning and Security Papers section).

Over the past several years I have collected and read many security research papers/slides and have started a small catalog of sorts. The topics of these papers range from intrusion detection, anomaly detection, machine learning/data mining, Internet scale data collection, malware analysis, and intrusion/breach reports. I figured this collection might useful to others. All links lead to PDFs hosted here.

I hope to clean this up (add author info, date, and publication) when I get some more time as well as adding some detailed notes I have on the various features, models, algorithms, and datasets used in many of these papers.

Here are some of my favorites (nice uses of machine learning, graph analytics, and/or anomaly detection to solve interesting security problems):

Here is the entire collection:

Intrusion Detection

Malware

Data Collection

Vulnerability Analysis/Reversing

Anonymity/Privacy/OPSEC/Censorship

Data Mining

Cyber Crime

CND/CNA/CNE/CNO

–Jason
@jason_trost

The Definitive Security Data Science and Machine Learning Guide

Books, tutorials, presentations, and research papers on various security topics that use data science and machine learning Continue reading

Deep Learning Security Papers

Published on December 29, 2016