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dc.contributor.advisorLee, Brian
dc.contributor.authorWu, Yichang
dc.contributor.authorQiao, Yuansong
dc.date.accessioned2022-07-04T11:56:29Z
dc.date.available2022-07-04T11:56:29Z
dc.date.copyright2020
dc.date.issued2020-06
dc.identifier.citationWu, Y. (2020). Towards improved trust in threat intelligence sharing using blockchain and trusted computing. Thesis (Master of Science - MSc). Athlone Institute of Technologyen_US
dc.identifier.urihttp://research.thea.ie/handle/20.500.12065/4014
dc.description.abstractThreat Intelligence Sharing is one of the most promising approaches to resist ever-growing cyber attacks. Pressing challenges including concerns about trust, privacy, negative publicity, policy/legal issues and expense of sharing inhibit e ective sharing. Among all these sharing requirements, open trust issues are most crucial and fundamental prerequisites. Blockchain Technology has been widely adapted in data sharing market such as IoT Data sharing, Health Information sharing and so on. Trusted Computing provides an isolated secure trustworthy execution environment. This thesis AIMs to investigate the use of Blockchain Technology and Trusted Computing as a mechanism to address open trust issues of threat intelligence sharing.en_US
dc.formatPDFen_US
dc.language.isoengen_US
dc.publisherAthlone Institute of Technologyen_US
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectBlockchainen_US
dc.subjectTrusted computingen_US
dc.subjectIntelligence sharingen_US
dc.titleTowards improved trust in threat intelligence sharing using blockchain and trusted computingen_US
dc.typeinfo:eu-repo/semantics/masterThesisen_US
dc.contributor.affiliationAthlone Institute of Technologyen_US
dc.identifier.orcidhttps://orcid.org/ 0000-0002-0730-6526en_US
dc.rights.accessrightsinfo:eu-repo/semantics/openAccessen_US
dc.subject.departmentFaculty of Engineering & Informatics AITen_US


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Attribution-NonCommercial-NoDerivatives 4.0 International
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivatives 4.0 International