Alternatives and similar repositories for Hanhan_CyberSecurity_DataScience

Users that are interested in Hanhan_CyberSecurity_DataScience are comparing it to the libraries listed below

• opensci-hub / Awesome-ML-Cybersecurity
  Machine Learning For Cybersecurity.
  ☆65Updated 5 years ago
• dleyanlin / Machine-Learning-and-Cyber-Security-Resources
  ☆15Updated 8 years ago
• PacktPublishing / Hands-on-Machine-Learning-for-Cyber-Security
  Hands-On Machine Learning for Cybersecurity, published by Packt
  ☆196Updated 2 years ago
• PacktPublishing / Hands-On-Artificial-Intelligence-for-Cybersecurity
  Hands-On Artificial Intelligence for Cybersecurity, publised by Packt
  ☆162Updated 2 years ago
• ulookme / CyberSecurity-Data-Science
  Use machine learning to classify malware. Malware analysis 101. Set up a cybersecurity lab environment. Learn how to tackle data class im…
  ☆17Updated 5 years ago
• slrbl / Intrusion-and-anomaly-detection-with-machine-learning
  Machine learning algorithms applied on log analysis to detect intrusions and suspicious activities.
  ☆156Updated 2 weeks ago
• hgascon / security-datasets
  A collection of resources for security data
  ☆41Updated 7 years ago
• PacktPublishing / Machine-Learning-for-Cybersecurity-Cookbook
  Machine Learning for Cybersecurity Cookbook, published by Packt
  ☆342Updated 2 years ago
• tabzraz / InsiderThreatDetection
  ☆21Updated 9 years ago
• andrewaeva / machine-learning-in-cybersecurity
  A list of cybersecurity projects that use machine learning techniques
  ☆64Updated 8 years ago
• stratosphereips / zeek_anomaly_detector
  A completely automated anomaly detector Zeek network flows files (conn.log).
  ☆81Updated 3 weeks ago
• ALFA-group / BRON
  "Linking Threat Tactics, Techniques, and Patterns with Defensive Weaknesses, Vulnerabilities and Affected Platform Configurations for Cyb…
  ☆96Updated last year
• raymondino / InsiderThreat-StreamReasoningUseCase
  This use case aims to leverage stream reasoning techniques and the concept of semantic importance to detect one attacking type of the ins…
  ☆22Updated 8 years ago
• fabriciojoc / ml-cybersecuritiy-course
  Machine Learning applied to Cyber Security Course
  ☆45Updated 5 years ago
• oreilly-mlsec / book-resources
  ☆294Updated last year
• alexamanpreet / Network-Log-and-Traffic-Analysis
  Identify malicious behavior and attacks using Machine Learning with Python
  ☆48Updated 8 years ago
• cayenneZ / AI-Cyber-Security
  ☆37Updated 7 years ago
• AbertayMachineLearningGroup / machine-learning-SIEM-water-infrastructure
  This work aims at using different machine learning techniques in detecting anomalies (including hardware failures, sabotage and cyber-at…
  ☆38Updated 4 years ago
• rubiruchi / Insider-Threat-and-Anomaly-Detection-from-User-Activities
  Anomaly detection in network traffic and event logs using deep learning (w/ Pytorch)
  ☆70Updated 6 years ago
• PacktPublishing / Mastering-Machine-Learning-for-Penetration-Testing
  Mastering Machine Learning for Penetration Testing, published by Packt
  ☆369Updated 2 years ago
• AbertayMachineLearningGroup / network-threats-taxonomy
  Machine Learning based Intrusion Detection Systems are difficult to evaluate due to a shortage of datasets representing accurately networ…
  ☆104Updated 5 years ago
• cylance / IntroductionToMachineLearningForSecurityPros
  Example code for our book Introduction to Artificial Intelligence for Security Professionals
  ☆153Updated 6 years ago
• jmnwong / NSL-KDD-Dataset
  ☆51Updated 9 years ago
• H21lab / Anomaly-Detection
  Scripts to help to detect anomalies in pcap file. Anomaly Detection using tensorflow and tshark.
  ☆83Updated 5 years ago
• ANSSI-FR / SecuML
  Machine Learning for Computer Security
  ☆280Updated 3 years ago
• hija / MalwareDataScience
  Malware Data Science Reading Diary / Notes
  ☆128Updated 6 years ago
• mitre-atlas / atlas-data
  ATLAS tactics, techniques, and case studies data
  ☆77Updated 2 weeks ago
• SmartSecLab / ENViSEC
  AI-enabled Cybersecurity for Future Smart Environments
  ☆24Updated last year
• Shauqi / Attack-and-Anomaly-Detection-in-IoT-Sensors-in-IoT-Sites-Using-Machine-Learning-Approaches
  Attack and Anomaly detection in the Internet of Things (IoT) infrastructure is a rising concern in the domain of IoT. With the increased …
  ☆50Updated 6 years ago
• antoinedelplace / Cyberattack-Detection
  Cyber Attack Detection thanks to Machine Learning Algorithms
  ☆105Updated 5 years ago