Endgame Malware BEnchmark for Research, a repository that makes it easy to (re)create a machine learning model that can be used to predict a score for a PE file based on static analysis.

In 3 lists

Aegean Wireless Intrusion Dataset (AWID)

↑ Papers

Generating Network Intrusion Detection Dataset Based on Real and Encrypted Synthetic Attack Traffic

Fast, Lean, and Accurate: Modeling Password Guessability Using Neural Networks

In 2 lists

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

eXpose: A Character-Level Convolutional Neural Network with Embeddings For Detecting Malicious URLs, File Paths and…

Big Data Technologies for Security Event Correlation Based on Event Type Accounting (RUS)

Investigation of The Use of Neural Networks for Detecting Low-Intensive Ddоs-Atak of Applied Level (RUS)

Detecting Malicious PowerShell Commands using Deep Neural Networks

Machine Learning DDoS Detection for Consumer Internet of Things Devices

Anomaly Detection in Computer System by Intellectual Analysis of System Journals (RUS)

EMBER: An Open Dataset for Training Static PE Malware Machine Learning Models

A state-of-the-art survey of malware detection approaches using data mining techniques.

Investigation of malicious portable executable file detection on network using supervised learning techniques.

Machine Learning in Cybersecurity: A Guide

Outside the Closed World: On Using Machine Learning For Network Intrusion Detection

Machine Learning Based Network Vulnerability Analysis of Industrial Internet of Things

Hopper: Modeling and Detecting Lateral Movement

Finding Effective Security Strategies through Reinforcement Learning and Self-Play

Intrusion Prevention through Optimal Stopping

Cyber Risk Management: AI-Generated Warnings of Threats (Thesis)

↑ 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

Mastering Machine Learning for Penetration Testing

Malware Data Science: Attack Detection and Attribution

↑ 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

Beyond the Blacklists: Detecting Malicious URL Through Machine Learning

Machine Learning Fueled Cyber Threat Hunting

In 2 lists

Weaponizing Machine Learning: Humanity Was Overrated

Machine Learning, Offense, and the future of Automation

Bringing Red vs. Blue to Machine Learning

Explaining Machine Learning with Azure and the Titanic Dataset

Using Machines to exploit Machines

Analyze active directory event logs using visualize and ML

Hardening Machine Learning Defenses Against Adversarial Attacks

Deep Neural Networks for Hackers: Methods, Applications, and Open Source Tools

ML in the daily work of a threat hunter

The Real Deal About AI: ML for CyberSecurity - Josh Fu

Automated Detection of Software Vulnerabilities Using Deep-Learning

Building and Breaking a Machine Learning System - Johann Rehberger

Vulnerabilities of Machine Learning Infrastructure - Sergey Gordeychik

↑ Tutorials

Machine Learning based Password Strength Classification

Using Machine Learning to Classify Packet Captures

Using Machine Learning to Detect Malicious URLs

Using deep learning to break a Captcha system

Data mining for network security and intrusion detection

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

Building Machine Learning Models for the SOC

Detecting Web Attacks With Recurrent Neural Networks

Machine Learning for Red Teams, Part 1

Detecting Reverse Shell with Machine Learning

Obfuscated Command Line Detection Using Machine Learning

Обнаружение веб-атак с помощью рекуррентных нейронных сетей (RUS)

Clear and Creepy Danger of Machine Learning: Hacking Passwords

Discovering anomalous patterns based on parent-child process relationships

Machine Learning for Detecting Phishing Websites

Password Hunting with ML in Active Directory

Как самому разработать систему обнаружения компьютерных атак на основе машинного обучения (RUS)

↑ Courses

Data Mining for Cyber Security by Stanford

Data Science and Machine Learning for Infosec

Cybersecurity Data Science on Udemy

Machine Learning for Red Team Hackers on Udemy

↑ Miscellaneous

System predicts 85 percent of cyber-attacks using input from human experts

Machine learning tool for classification of packets by looking at packet headers

A list of open source projects in cyber security using machine learning

Source code about machine learning and security

Source code for Mastering Machine Learning for Penetration Testing

Convolutional neural network for analyzing pentest screenshots

🟢⚠️ — 🅐 Convolutional neural network that classifies pentest/recon screenshots (login pages, webapps, old-looking sites, parked domains, and custom 404s) for attack-surface triage. (Bishop Fox) — note: GPL-3.0 licensed. · updated 2024-02-19)

In 3 lists

Big Data and Data Science for Security and Fraud Detection

StringSifter - a machine learning tool that ranks strings based on their relevance for malware analysis

A machine learning tool that automatically ranks strings based on their relevance for malware analysis.

In 3 lists

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