Machine-Learning-for-Cyber-Security - Curated list of tools and resources related to the

项目说明

Machine Learning for Cyber Security ![Awesom]()

A curated list of amazingly awesome tools and resources related to the use of machine learning for cyber security.

Table of Contents

- Datasets
- Papers
- Books
- Talks
- Tutorials
- Courses
- Miscellaneous

↑ Datasets

* Samples of Security Related Dats
* 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 e

↑ 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
* Ad support 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
* An In of Byte N-Gram Features for Malware Classification

↑ 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 for Hackers: Case Studies and Algorithms to Get You Started

↑ 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-Dri 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 Is Not Telling You
* CrowdSource: Crowd Trained Machine Learning Model for Malware Capability Det
* Defeating Machine Learning: Systemic Deficiencies for Detecting Malware
* Packet Capture – 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 Pre
* 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

↑ 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

↑ Courses

* Data Mining for Cyber Security by Stanford

↑ 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

Please have a look at
* Best Hacking Books
* Best Reverse Engineering Books
* Best Machine learning Books
* Best 5 books Programming Books
* Best Ja

项目信息

开发语言：未知

Star 数：1538

技术要点

该项目属于安全软件方向的开源资源，代码结构清晰，适合安全研究人员学习参考。项目围绕Curated list of tools and resources related to the use of machine learning for cyber security展开，提供了可运行的实现，对理解相关安全机制、工具原理与攻防技术具有较高的研究价值。

从技术实现角度看，此类项目的核心在于对底层原理的深入理解与工程化落地。开发者在研究过程中可以结合官方文档与社区讨论，梳理项目的初始化流程、核心模块职责与数据流转，逐步掌握其中的技术细节与设计思路。

使用与学习建议

1. 下载源码压缩包，解压到本地环境。

2. 根据项目类型准备对应的运行环境与依赖。

3. 按照 README 中的步骤完成配置与部署。

4. 在隔离的测试环境中运行验证，避免影响生产系统。

免责声明

本资源来源于开源社区，仅供安全研究、技术学习与合法授权范围内的攻防演练使用，请勿用于任何非法或侵害他人权益的用途。使用本项目产生的一切后果由使用者自行承担。