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

Interoperability

• RO-Crate Metadata

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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)