A Methodological Approach for the Security Analysis of FIWARE Technology

This paper presents the results of a security assessment of FIWARE technology. We adopted an offensive perspective to identify vulnerabilities in deploying FIWARE components in specific architecture configurations. We identify security issues by experimenting in a locally controlled environment and propose a threat model following the OWASP methodology. We implemented attacks for three of the identified attack goals and validated our approach with an exploratory analysis of an actual working and productive FIWARE platform. This analysis helped us distinguish different types of attacks, and we ended up with recommendations for components, architecture, and access control.

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Publication Details

Journal
CLEI electronic journal
Published
2024-09-06
DOI
https://doi.org/10.19153/cleiej.27.4.2
Primary Topic
Advanced Malware Detection Techniques
Type
article
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article

A Methodological Approach for the Security Analysis of FIWARE Technology

Gustavo Betarte, Juan Pablo Perata
CLEI electronic journal
Advanced Malware Detection Techniques
article

A Methodological Approach for the Security Analysis of FIWARE Technology

Gustavo Betarte, Juan Pablo Perata
article en

Abstract

This paper presents the results of a security assessment of FIWARE technology. We adopted an offensive perspective to identify vulnerabilities in deploying FIWARE components in specific architecture configurations. We identify security issues by experimenting in a locally controlled environment and propose a threat model following the OWASP methodology. We implemented attacks for three of the identified attack goals and validated our approach with an exploratory analysis of an actual working and productive FIWARE platform. This analysis helped us distinguish different types of attacks, and we ended up with recommendations for components, architecture, and access control.

CLEI electronic journalVol. 27(4)
Universidad de la República de Uruguay (UY), Universidad de Montevideo (UY)
Openalex Percentile: Top 84%
Advanced Malware Detection Techniques
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