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On the Performance of Secure Sharing of Classified Threat Intelligence between Multiple Entities

The sharing of cyberthreat information within a community or group of entities is possible due to solutions such as the Malware Information Sharing Platform (MISP). However, the MISP was considered limited if its information was deemed as classified or shared only for a given period of time. A solut...

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Detalles Bibliográficos
Autores principales: Fernandes, Ricardo, Bugla, Sylwia, Pinto, Pedro, Pinto, António
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9866390/
https://www.ncbi.nlm.nih.gov/pubmed/36679712
http://dx.doi.org/10.3390/s23020914
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author Fernandes, Ricardo
Bugla, Sylwia
Pinto, Pedro
Pinto, António
author_facet Fernandes, Ricardo
Bugla, Sylwia
Pinto, Pedro
Pinto, António
author_sort Fernandes, Ricardo
collection PubMed
description The sharing of cyberthreat information within a community or group of entities is possible due to solutions such as the Malware Information Sharing Platform (MISP). However, the MISP was considered limited if its information was deemed as classified or shared only for a given period of time. A solution using searchable encryption techniques that better control the sharing of information was previously proposed by the same authors. This paper describes a prototype implementation for two key functionalities of the previous solution, considering multiple entities sharing information with each other: the symmetric key generation of a sharing group and the functionality to update a shared index. Moreover, these functionalities are evaluated regarding their performance, and enhancements are proposed to improve the performance of the implementation regarding its execution time. As the main result, the duration of the update process was shortened from around 2922 s to around 302 s, when considering a shared index with 100,000 elements. From the security analysis performed, the implementation can be considered secure, thus confirming the secrecy of the exchanged nonces. The limitations of the current implementation are depicted, and future work is pointed out.
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spelling pubmed-98663902023-01-22 On the Performance of Secure Sharing of Classified Threat Intelligence between Multiple Entities Fernandes, Ricardo Bugla, Sylwia Pinto, Pedro Pinto, António Sensors (Basel) Article The sharing of cyberthreat information within a community or group of entities is possible due to solutions such as the Malware Information Sharing Platform (MISP). However, the MISP was considered limited if its information was deemed as classified or shared only for a given period of time. A solution using searchable encryption techniques that better control the sharing of information was previously proposed by the same authors. This paper describes a prototype implementation for two key functionalities of the previous solution, considering multiple entities sharing information with each other: the symmetric key generation of a sharing group and the functionality to update a shared index. Moreover, these functionalities are evaluated regarding their performance, and enhancements are proposed to improve the performance of the implementation regarding its execution time. As the main result, the duration of the update process was shortened from around 2922 s to around 302 s, when considering a shared index with 100,000 elements. From the security analysis performed, the implementation can be considered secure, thus confirming the secrecy of the exchanged nonces. The limitations of the current implementation are depicted, and future work is pointed out. MDPI 2023-01-12 /pmc/articles/PMC9866390/ /pubmed/36679712 http://dx.doi.org/10.3390/s23020914 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Fernandes, Ricardo
Bugla, Sylwia
Pinto, Pedro
Pinto, António
On the Performance of Secure Sharing of Classified Threat Intelligence between Multiple Entities
title On the Performance of Secure Sharing of Classified Threat Intelligence between Multiple Entities
title_full On the Performance of Secure Sharing of Classified Threat Intelligence between Multiple Entities
title_fullStr On the Performance of Secure Sharing of Classified Threat Intelligence between Multiple Entities
title_full_unstemmed On the Performance of Secure Sharing of Classified Threat Intelligence between Multiple Entities
title_short On the Performance of Secure Sharing of Classified Threat Intelligence between Multiple Entities
title_sort on the performance of secure sharing of classified threat intelligence between multiple entities
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9866390/
https://www.ncbi.nlm.nih.gov/pubmed/36679712
http://dx.doi.org/10.3390/s23020914
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