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 . 相关资源：The random walk's guide to anomalous diffusion-a fractional dynamics approach