Please use this identifier to cite or link to this item: https://ruomo.lib.uom.gr/handle/7000/1696
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dc.contributor.authorTsakalidis, George-
dc.contributor.authorVergidis, Kostas-
dc.contributor.authorMadas, Michael-
dc.date.accessioned2023-11-03T21:50:41Z-
dc.date.available2023-11-03T21:50:41Z-
dc.date.issued2018-
dc.identifier10.1109/CoDIT.2018.8394816en_US
dc.identifier.isbn978-1-5386-5065-3en_US
dc.identifier.urihttps://doi.org/10.1109/CoDIT.2018.8394816en_US
dc.identifier.urihttps://ruomo.lib.uom.gr/handle/7000/1696-
dc.description.abstractMultiple studies and surveys focus on specific cybercrime characteristics or develop classification models that do not adequately address the complexity of this contemporary type of crime. This study proposes a comprehensive approach towards cybercrime interpretation and action recommendation through a proposed framework that provides three separate and complementary views to achieve a comprehensive perspective that leads to actionable recommendations. The framework's view I identifies the features of a cybercrime incident and their corresponding elements generating a textual schema-based description that can accommodate existing and new instances of cybercrime. The second view introduces an up-to-date cybercrime-related offence classification system through consolidation and elaboration of existing approaches and leads to a visual extension of schema-based incident description that depicts the interrelations of the various cybercrime elements towards a particular type of offence. View III identifies and interconnects the relevant stakeholders with preventive and response actions and measures. The proposed framework extends previous published work on the theoretical foundation of this multi-faceted domain, and demonstrates that the necessity of a comprehensive approach towards cybercrime can be actualized through different steps with each one designated towards a different perspective.en_US
dc.language.isoenen_US
dc.subjectFRASCATI::Natural sciences::Computer and information sciencesen_US
dc.subjectFRASCATI::Social sciences::Lawen_US
dc.subject.otherComputer crimeen_US
dc.subject.otherLawen_US
dc.subject.otherVisualizationen_US
dc.subject.otherStakeholdersen_US
dc.subject.otherInterneten_US
dc.titleCybercrime Offences: Identification, Classification and Adaptive Responseen_US
dc.typeConference Paperen_US
dc.contributor.departmentΤμήμα Εφαρμοσμένης Πληροφορικήςen_US
local.identifier.firstpage470en_US
local.identifier.lastpage475en_US
local.identifier.volumetitle2018 5th International Conference on Control, Decision and Information Technologies (CoDIT)en_US
Appears in Collections:Department of Applied Informatics

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