关于机器学习和网络安全的一些资料

关于机器学习和网络安全的一些资料

近年来，机器学习和人工智能得到了人们的广泛关注。机器学习在许多领域得到了广泛的应用，甚至在一些领域有了新的玩法。阿里聚安全小编也在此前发表了几篇基于机器学习的相关文章：《阿里巴巴直播内容风险防控中的AI力量》和《基于机器学习的web异常检测》

但是基于机器学习在网络安全应用的领域，并不像其他领域这么热门，一直没有被广泛应用。这个想法可能有所偏差，但是笔者还没有看到相关的学习教程和资源。因此在本文中，笔者将分享一些基于机器学习在网络安全应用的学习教程和资源。希望有助于正在寻找此类资源的小伙伴！

数据库

• 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 everyone

论文

• 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

• 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

• Deep Learning Security Papers

• Applications of Machine Learning in Cyber Security

书籍

• 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

视频

• 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

教程

• 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

课程

• Data Mining for Cyber Security by Stanford 

其他

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

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

• The Growth of Artificial Intelligence in E-commerce

本文来自合作伙伴“阿里聚安全”，发表于2017年05月16日 14:03 .