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Modelling cyber-risk in an economic perspective

dc.creatorBothos I., Vlachos V., Kyriazanos D.M., Stamatiou I., Thanos K.G., Tzamalis P., Nikoletseas S., Thomopoulos S.C.A.en
dc.date.accessioned2023-01-31T07:39:15Z
dc.date.available2023-01-31T07:39:15Z
dc.date.issued2021
dc.identifier10.1109/CSR51186.2021.9527994
dc.identifier.isbn9781665402859
dc.identifier.urihttp://hdl.handle.net/11615/71861
dc.description.abstractIn this paper, we present a theoretical approach concerning the econometric modelling for the estimation of cyber-security risk, with the use of time-series analysis methods and alternatively with Machine Learning (ML) based, deep learning methodology. Also we present work performed in the framework of SAINT H2020 Project [1], concerning innovative data mining techniques, based on automated web scrapping, for the retrieving of the relevant time-series data. We conclude with a review of emerging challenges in cyber-risk assessment brought by the rapid development of adversarial AI. © 2021 IEEE.en
dc.language.isoenen
dc.sourceProceedings of the 2021 IEEE International Conference on Cyber Security and Resilience, CSR 2021en
dc.source.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85115711830&doi=10.1109%2fCSR51186.2021.9527994&partnerID=40&md5=61ea51ca50b19854b5c289b4d01736b8
dc.subjectData miningen
dc.subjectDeep learningen
dc.subjectRisk perceptionen
dc.subjectSecurity of dataen
dc.subjectTime series analysisen
dc.subjectCyber securityen
dc.subjectEconometric modellingen
dc.subjectEconomic perspectiveen
dc.subjectTheoretical approachen
dc.subjectTime-series dataen
dc.subjectRisk assessmenten
dc.subjectInstitute of Electrical and Electronics Engineers Inc.en
dc.titleModelling cyber-risk in an economic perspectiveen
dc.typeconferenceItemen


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