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Project deliverable . 2022
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D3.4 Tools and techniques for collecting evidence of technical and organisational measures – v1

Authors: Anže Žitnik;

D3.4 Tools and techniques for collecting evidence of technical and organisational measures – v1

Abstract

This deliverable presents tools and techniques for the evidence collection of technical measures, such as security assessment of virtual machines, containers and server less functions or based on the analysis of information and data flows as well as organisational measures through the use of machine-learning and NLP. There will be three iterations of the tool integration, an initial prototype, reflecting an early stage of integration in the technical framework (D3.4), the second release will be based on a refinement of the technical architecture (D3.5), finally the third iteration will reflect the implementation of the use cases (D3.6). This deliverable is the result of Task 3.2, Task 3.3 and Task 3.4.

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Keywords

Evidence gathering, Clouditor, Codyze, Organisational measures, Security assessment, Components implementation, Wazuh, Technical measures, Vulnerability Assessment Tools

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selected citations
These citations are derived from selected sources.
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.
BIP!Impulse provided by BIP!
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