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ZENODO
Software . 2022
Data sources: Datacite
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ZENODO
Software . 2022
Data sources: ZENODO
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Observable Database for CTI

Authors: Tovarňák, Daniel; Čech, Michal; Tichý, Dušan; Dohnal, Vojtěch;

Observable Database for CTI

Abstract

This is an experimental implementation of an observable database that works as an inverted index for heterogeneous cyber threat intelligence. It leverages meta-programming to auto-generate a GraphQL API, which allows for graph-based filtering, traversal and retrieval of the indexed cyber observables and the referenced CTI data. We have paired the prototype with a data generator for testing and demonstration purposes. The generated data are mapped to standards and technologies commonly used in the cyber threat intelligence domain. Requirements Docker Docker Compose Additional Details More details can be found in the README.md file inside the uploaded ZIP archive.

This research was supported by the Security Research Programme of the Czech Republic 2015���2022 (BV III/1-VS) granted by the Ministry of the Interior of the Czech Republic under No. VI20202022164 Advanced Security Orchestration and Intelligent Threat Management.

Related Organizations
Keywords

GraphQL, cyber threat intelligence, security

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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