Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.11960/4791
Title: On the performance of secure sharing of classified threat intelligence between multiple entities
Authors: Fernandes, Ricardo
Bugla, Sylwia
Pinto, Pedro
Pinto, António
Keywords: Performance
Threat intelligence
Secure sharing
Issue Date: 2023
Citation: Fernandes, r., Bugla, S., Pinto, P., & Pinto A. (2023). On the performance of secure sharing of classified threat intelligence between multiple entities. Sensors, 23(2), Artigo e914. htpps://doi.org/10.3390/s23020914
Abstract: 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.
URI: http://hdl.handle.net/20.500.11960/4791
ISSN: 1424-8220
Appears in Collections:ESTG - Publicações indexadas à WoS/Scopus

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