Code for DeepLog: Anomaly detection and diagnosis from system logs through deep learning (software)

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

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

categories

keywords

Event Analysis, Security

licence

MIT

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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)

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"