fanci-dga-detection / fanciLinks
FANCI is a prototype implementation of a machine learning based classification engine for non-existent domains to detect domain gernation algorithm malware traffic.
☆29Updated 7 years ago
Alternatives and similar repositories for fanci
Users that are interested in fanci are comparing it to the libraries listed below
Sorting:
- ☆270Updated 7 years ago
- ☆22Updated 5 years ago
- This is a paper list about Machine Learning for IDSes☆90Updated last year
- A simple, cross-platform utility to classify packets into flows using only the essential 4-tuple.☆174Updated 3 months ago
- DGA Detection with ML and DL☆52Updated 6 years ago
- Original implementation and resources of DeepCASE as in the S&P '22 paper☆97Updated 2 years ago
- ISCXFlowMeter is an Ethernet traffic flow generator and analyzer for anomaly detection which has been used in different network security …☆75Updated last year
- Leveraging machine learning to detect TLS based malware in encrypted traffic without decryption☆39Updated 5 years ago
- Material from the DARPA Transparent Computing Program☆220Updated 5 years ago
- ☆84Updated 2 years ago
- [TDSC 2021] IntruSion alert-driven Attack Graph Extractor. https://ieeexplore.ieee.org/document/9557854☆40Updated last year
- ☆14Updated 4 years ago
- Towards the Detection of Inconsistencies in Public Security Vulnerability Reports