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Cyber threat intelligence architecture for applied cybersecurity scenarios : PhD thesis proposal in web science and technology

2022Conference paper Open access
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dc.contributor.authorRosa, Ivo
dc.contributor.authorBatista, Ricardo
dc.contributor.authorGoncalves, Ramiro
dc.contributor.authorMartins, José
dc.contributor.authorBranco, Frederico
dc.date.accessioned2022-08-19T15:30:15Z
dc.date.available2022-08-19T15:30:15Z
dc.date.issued2022
dc.description.abstractWhen talking about Cybersecurity, particularly in security incident response plan and processes it is very common and relevant to talk about the ability to detect malicious or suspicious activities and behavior as soon as possible, in other words, in this domain, in Cybersecurity everyone wants to reduce the Mean time to detect (MTTD) or Mean time to respond (MTTR) a potential security incident. The use of Cyber Threat Intelligence CTI indicators can contribute to the reduction of the mean time to detect threats and consequently directly influence the time to response, however there are different types of Cyber Threat Intelligence that serve different purposes. The objective of the study is the development of a reference architecture to support and process data from the most diverse type of data sources in terms of Cyber Threat Intelligence, for example using the combination data from Open Source Intelligence - OSINT sources and honeypots, taking into consideration the advantages and disadvantages of each of these types of data sources to correlate them with each other in order to increase the trust and reliability of the relevant indicators that can be used by security analysts in incident response processes. This paper presents the proposed work for a PhD thesis in Web Science and Technology, scheduled for completion in July 2023. This doctoral thesis falls within the area of Computer Engineering, with applicability in the domain of Cybersecurity and consequently in the subdomain of Threat Intelligence. The research project is in the state-of-the-art study phase. It is expected that the participation in this Doctoral Symposium will provide potential comments that can enhance the growth and complement the ongoing research work.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationRosa, Ivo; Batista, Ricardo; Goncalves, Ramiro; Martins, José; Branco, Frederico. (2022). Cyber threat intelligence architecture for applied cybersecurity scenarios : PhD thesis proposal in web science and technology. 17th Iberian Conference on Information Systems and Technologies (CISTI). p.1-6. 22 - 25 June 2022, Madrid, Spain ISBN: 978-989-33-3436-2pt_PT
dc.identifier.doi10.23919/CISTI54924.2022.9820152
dc.identifier.isbn978-989-33-3436-2
dc.identifier.issn2166-0727
dc.identifier.urihttp://hdl.handle.net/10198/25839
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherIEEEpt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectCibersegurançapt_PT
dc.subjectCyber threat intelligencept_PT
dc.subjectSecurity feedspt_PT
dc.titleCyber threat intelligence architecture for applied cybersecurity scenarios : PhD thesis proposal in web science and technologypt_PT
dc.typeconference paper
dspace.entity.typePublication
oaire.citation.title17th Iberian Conference on Information Systems and Technologies (CISTI)pt_PT
person.familyNameMartins
person.givenNameJosé
person.identifierR-005-4SA
person.identifier.ciencia-idBC19-7E23-DA8C
person.identifier.orcid0000-0002-7787-6305
person.identifier.ridB-5280-2014
person.identifier.scopus-author-id35321317600
rcaap.rightsopenAccesspt_PT
rcaap.typeconferenceObjectpt_PT
relation.isAuthorOfPublication9a3a730e-b304-424c-9325-35f43c88f16c
relation.isAuthorOfPublication.latestForDiscovery9a3a730e-b304-424c-9325-35f43c88f16c

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