Privacy-preserving correlation of cross-organizational cyber threat intelligence with private graph intersections

dc.contributor.author	Preuveneers, Davy
dc.contributor.author	Joosen, Wouter
dc.contributor.imecauthor	Joosen, Wouter
dc.date.accessioned	2024-04-22T08:08:17Z
dc.date.available	2024-02-09T17:25:57Z
dc.date.available	2024-04-22T08:08:17Z
dc.date.issued	2023
dc.description.wosFundingText	This research is partially funded by the Research Fund KU Leuven, by the Flemish Research Programme Cybersecurity, and by VLAIO through the CS ICON project "Cyber Security Artificial Intelligence" (CSAI) . Work for this paper was supported by the European Commission through the H2020 project CyberSec4Europe (https:// www.cybersec4europe.eu/) under grant agreement 830929 and the Horizon Europe project KINAITICS (https://kinaitics.eu/) under grant agreement 101070176.
dc.identifier.doi	10.1016/j.cose.2023.103505
dc.identifier.issn	0167-4048
dc.identifier.uri	https://imec-publications.be/handle/20.500.12860/43525
dc.publisher	ELSEVIER ADVANCED TECHNOLOGY
dc.source.beginpage	Art. 103505
dc.source.endpage	N/A
dc.source.issue	N/A
dc.source.journal	COMPUTERS & SECURITY
dc.source.numberofpages	19
dc.source.volume	135
dc.title	Privacy-preserving correlation of cross-organizational cyber threat intelligence with private graph intersections
dc.type	Journal article
dspace.entity.type	Publication
Files
Publication available in collections:	Articles