markusring / CIDDS
Coburg Intrusion Detection Data Sets
☆48Updated 7 years ago
Alternatives and similar repositories for CIDDS:
Users that are interested in CIDDS are comparing it to the libraries listed below
- This program allow you to extract some features from pcap files.☆38Updated last year
- Machine-learning-based intrusion detection☆33Updated 6 years ago
- A Zeek script to generate features based on timing, volume and metadata for traffic classification.☆54Updated 4 years ago
- ☆26Updated last year
- nPrint provides a generalizable data representation for network packets that works directly with machine learning techniques☆103Updated 2 years ago
- A method for grouping, clustering, and merging semi-structured alerts☆22Updated 2 months ago
- Material from the DARPA Transparent Computing Program☆185Updated 4 years ago
- Anomaly detection in network traffic and event logs using deep learning (w/ Pytorch)☆60Updated 5 years ago
- This is a paper list about Machine Learning for IDSes☆88Updated 4 months ago
- Feature Extraction and Machine Learning from Network Traffic Traces☆65Updated 5 months ago
- These scripts conduct TCPDUMP in harmony with CICFlowMeter to operation real-time traffic capturing and converting in csv file.☆49Updated 4 years ago
- [TDSC 2021] IntruSion alert-driven Attack Graph Extractor. https://ieeexplore.ieee.org/document/9557854☆32Updated 6 months ago
- AEIDS is a prototype of anomaly-based intrusion detection system which works by remembering the pattern of legitimate network traffic usi…☆14Updated 4 years ago
- Original implementation and resources of DeepCASE as in the S&P '22 paper☆90Updated last year
- Scripts to deploy virtual testbed for log data analysis and anomaly detection.☆21Updated last year
- ISCXFlowMeter is an Ethernet traffic flow generator and analyzer for anomaly detection which has been used in different network security …☆69Updated 11 months ago
- Network traffic classifier based on machine learning algorithms☆42Updated 2 years ago
- DoHlyzer is a DNS over HTTPS (DoH) traffic flow generator and analyzer for anomaly detection and characterization.☆63Updated last year
- This is a five-step framework for the development of intrusion detection systems (IDS) using machine learning (ML) considering model real…☆49Updated 2 years ago
- SSH traffic analysis☆23Updated 5 years ago
- An IDS implementation using machine learning☆36Updated 7 years ago
- ☆14Updated 3 years ago
- This Network Intrusion Detection System (IDS) is network-based, and it will receive suspicious packet capture files from a network monito…☆14Updated last year
- ICS Cybersecurity PCAP respository☆51Updated 5 years ago
- A completely automated anomaly detector Zeek network flows files (conn.log).☆75Updated 5 months ago
- Payload-Byte is a tool for extracting and labeling packet capture (Pcap) files of modern network intrusion detection datasets.☆31Updated 6 months ago
- nPrintML creates and runs full ML-based traffic analysis pipelines using nPrint and AutoML.☆49Updated 11 months ago
- I have tried some of the machine learning and deep learning algorithm for IDS 2017 dataset. The link for the dataset is here: http://www.…☆38Updated 6 years ago
- Simple Network Intrusion Detection System. In python with Scapy.☆37Updated 5 years ago
- Official ID2T repository. ID2T creates labeled IT network datasets that contain user defined synthetic attacks.☆60Updated last year