Code for Tiresias: Predicting Security Events Through Deep Learning (software)

Code for Tiresias: Predicting Security Events Through Deep Learning

doi: 10.4121/4e12761f-716a-4ea6-b08c-a6a6e459893d.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: 10.4121/4e12761f-716a-4ea6-b08c-a6a6e459893d

Datacite citation style:

van Ede, Thijs (2023): Code for Tiresias: Predicting Security Events Through Deep Learning. Version 1. 4TU.ResearchData. software. https://doi.org/10.4121/4e12761f-716a-4ea6-b08c-a6a6e459893d.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 Tiresias that was implemented as part of the IEEE S&P DeepCASE paper [PDF], it provides a Pytorch implementation of Tiresias [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/10.1145/3243734.3243811

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/55fc9c66-c70f-4fdb-bbcf-797caf6bccaf.git