Code for DeepLog: Anomaly detection and diagnosis from system logs through deep learning
doi:10.4121/7a6086ad-1cd1-4a76-be8a-b7c0b6d17311.v1
The doi 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
doi: 10.4121/7a6086ad-1cd1-4a76-be8a-b7c0b6d17311
Datacite citation style:
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
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Software
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
organizations
University of Twente (Semantics Cybersecurity & Services)
DATA
To access the source code, use the following command:
git clone https://data.4tu.nl/v3/datasets/62fe208e-98d5-4451-8e07-784893414fcc.git "DeepLog"
