The DOI displayed above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
DOI: 10.4121/7a6086ad-1cd1-4a76-be8a-b7c0b6d17311

van Ede, Thijs (2023): Code for DeepLog: Anomaly detection and diagnosis from system logs through deep learning. Version 1. 4TU.ResearchData. software. https://doi.org/10.4121/7a6086ad-1cd1-4a76-be8a-b7c0b6d17311.v1

Categories

• Artificial Intelligence and Image Processing
• Other Information and Computing Sciences
• Computer Software
• Information and Computing Sciences

Keywords

Event Analysis Security

Licence

MIT

Export as...

RefWorks BibTeX Reference Manager Endnote DataCite NLM DC CFF

by Thijs van Ede

This repository contains the code for for DeepLog that was implemented as part of the IEEE S&P DeepCASE paper [PDF], it provides a Pytorch implementation of DeepLog [PDF]. We ask people to cite both works when using the software for academic research papers.

History

• 2023-10-26 first online, published, posted

Publisher

4TU.ResearchData

Associated peer-reviewed publication

DeepCASE: Semi-Supervised Contextual Analysis of Security Events

References

• https://doi.org/10.1145/3133956.3134015

Organizations

University of Twente (Semantics Cybersecurity & Services)