Alternatives and similar repositories for MTA-KDD-19

Users that are interested in MTA-KDD-19 are comparing it to the libraries listed below

• FiveDirections / OpTC-data
  ☆111Updated 5 years ago
• ahlashkari / ISCXFlowMeter
  ISCXFlowMeter is an Ethernet traffic flow generator and analyzer for anomaly detection which has been used in different network security …
  ☆74Updated last year
• hgascon / security-datasets
  A collection of resources for security data
  ☆41Updated 7 years ago
• stratosphereips / zeek_anomaly_detector
  A completely automated anomaly detector Zeek network flows files (conn.log).
  ☆81Updated 10 months ago
• zeek-flowmeter / zeek-flowmeter
  A Zeek script to generate features based on timing, volume and metadata for traffic classification.
  ☆56Updated 4 years ago
• iHeartGraph / PicoDomain
  ☆15Updated 3 years ago
• lminy / BotnetDetectionThesis
  Implementation realized for my master thesis on "Botnet detection in encrypted traffic - a machine learning approach"
  ☆18Updated 6 years ago
• vinayakumarr / Network-Traffic-Analysis
  SSH traffic analysis
  ☆23Updated 6 years ago
• Thijsvanede / DeepCASE
  Original implementation and resources of DeepCASE as in the S&P '22 paper
  ☆92Updated last year
• vinayakumarr / DMD2018
  Detection of malicious domain names using machine learning and deep learning models
  ☆16Updated 6 years ago
• benradford / replication_arxiv_1805_03735
  Replication files for arXiv:1805.03735 Sequence Aggregation Rules for Anomaly Detection in Computer Network Traffic
  ☆11Updated 6 years ago
• iPAS / TCPDUMP_and_CICFlowMeter
  These scripts conduct TCPDUMP in harmony with CICFlowMeter to operation real-time traffic capturing and converting in csv file.
  ☆52Updated 4 years ago
• tudelft-cda-lab / SAGE
  [TDSC 2021] IntruSion alert-driven Attack Graph Extractor. https://ieeexplore.ieee.org/document/9557854
  ☆37Updated last year
• lukehsiao / ml-ids
  Machine-learning-based intrusion detection
  ☆38Updated 6 years ago
• WalterDiong / TLS-Malware-Detection-with-Machine-Learning
  Leveraging machine learning to detect TLS based malware in encrypted traffic without decryption
  ☆39Updated 4 years ago
• KaiLiu-Leo / TTPDrill-0.5
  TTPDrill focuses on developing automated and context-aware analytics of cyber threat intelligence to accurately learn attack patterns (TT…
  ☆26Updated 5 years ago
• dgkim0803 / CTIMiner
  CTI database generator and public dataset
  ☆21Updated 5 years ago
• mannirulz / BotDAD
  Anomaly detection based on DNS traffic analysis
  ☆53Updated 4 years ago
• hmaccelerate / DGA_Detection
  DGA Detection with ML and DL
  ☆48Updated 5 years ago
• shramos / pcap-splitter
  Pcap-splitter allows you to split a pcap file into subsets of pcap files based on sessions, flows, ip addresses, number of bytes, number …
  ☆65Updated 6 years ago
• ahlashkari / DoHLyzer
  DoHlyzer is a DNS over HTTPS (DoH) traffic flow generator and analyzer for anomaly detection and characterization.
  ☆67Updated 2 years ago
• akafengfeng / AI-Security
  This is a paper list about Machine Learning for IDSes
  ☆89Updated 10 months ago
• slrbl / malware-detection-with-deep-learning-autoencoder
  ☆12Updated last week
• markusring / CIDDS
  Coburg Intrusion Detection Data Sets
  ☆51Updated 7 years ago
• rubiruchi / Insider-Threat-and-Anomaly-Detection-from-User-Activities
  Anomaly detection in network traffic and event logs using deep learning (w/ Pytorch)
  ☆68Updated 6 years ago
• ait-aecid / kyoushi-environment
  Scripts to deploy virtual testbed for log data analysis and anomaly detection.
  ☆25Updated last year
• FutureComputing4AI / AutoYara
  Automated Yara Rule generation using Biclustering
  ☆67Updated 4 years ago
• Belval / ML-IDS
  An IDS implementation using machine learning
  ☆35Updated 7 years ago
• CSIRT-MU / AIDA-Framework
  A framework for the Analysis of Intrusion Detection Alerts
  ☆17Updated 3 years ago
• ACANETS / NetML-Competition2020
  ☆27Updated last year