Evidence map›Paper›PMID 36679712›Full record

ArticleSensors (Basel, Switzerland)2023

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

Ricardo Fernandes, Sylwia Bugla, Pedro Pinto, António Pinto

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Ricardo FernandesINESC TEC, 4200-465 Porto, Portugal.ORCID 0000-0002-8420-3985
Sylwia BuglaINESC TEC, 4200-465 Porto, Portugal.ORCID 0000-0001-7763-0615
Pedro PintoINESC TEC, 4200-465 Porto, Portugal.ORCID 0000-0003-1856-6101
António PintoINESC TEC, 4200-465 Porto, Portugal.ORCID 0000-0002-5583-5772

Funding

European Defence Industrial Development Programme (EDIDP) EDIDP-CSAMN-SSS-2019-006-PANDORA - SI2.835928
6 · The paper itself

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.

Indexed as

AlgorithmsComputer SecurityConfidentialityInformation Disseminationperformancesecure sharingthreat intelligence

Identifiers

PMID36679712
PMCPMC9866390

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.