2026-07-28T16:50:18Z https://datacatalogue.cessda.eu/oai-pmh/v0/oai

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DDI study level documentation for study 10.7802/2494 Threat Level Index for Advanced Persistent Threats (APT) - European Repository of Cyber Incidents Threat Level Index for Advanced Persistent Threats (APT) - European Repository of Cyber Incidents Threat Level Index for Advanced Persistent Threats (APT) - European Repository of Cyber Incidents 10.7802/249410.7802/249410.7802/249410.7802/2494 Borrett, Camille Borrett, Camille [German Foreign Ministry [=] Danish Foreign Ministry] GESIS Data Archive for the Social SciencesGESIS Datenarchiv für Sozialwissenschaften This dataset is a subset of the European Repository of Cyber Incidents (EuRepoC) database. It contains 198 cyber incidents that occurred between 2002 and 2021 attributed to 19 Advanced Persistent Threats (APTs). APTs are potent, persistent, and state-affiliated, if not state-integrated, cyber actors responsible for various cyber-attacks. Within the context of the EuRepoC project, we have designed a Threat Level Index for assessing the relative level of threat posed by some of the most active APTs in cyberspace. The index is made up of five indicators to assess: (1) the intensity of the attacks attributed to the APT groups; (2) the sectorial scope of their attacks; (3) the geographical scope; (4) the frequency of attacks and (5) the sophistication of their attacks. This dataset contains the specific incidents along with the different calculations used for reaching the Threat Level scores for 19 APTs. About EuRepoC: EuRepoC gathers, codes, and analyses publicly available information from over 200 sources and 600 Twitter accounts on a daily basis to report on dynamic trends in the global, and particularly the European, cyber threat environment. For more information on the scope and data collection methodology for the primary database from which this dataset is derived see: <a href=https://eurepoc.eu/methodology target=_blank>https://eurepoc.eu/methodology </a>. The APT profiles in which the Threat Level scores are used can be found here: <a href=https://eurepoc.eu/apts target=_blank>https://eurepoc.eu/apts </a>.This dataset is a subset of the European Repository of Cyber Incidents (EuRepoC) database. It contains 198 cyber incidents that occurred between 2002 and 2021 attributed to 19 Advanced Persistent Threats (APTs). APTs are potent, persistent, and state-affiliated, if not state-integrated, cyber actors responsible for various cyber-attacks. Within the context of the EuRepoC project, we have designed a Threat Level Index for assessing the relative level of threat posed by some of the most active APTs in cyberspace. The index is made up of five indicators to assess: (1) the intensity of the attacks attributed to the APT groups; (2) the sectorial scope of their attacks; (3) the geographical scope; (4) the frequency of attacks and (5) the sophistication of their attacks. This dataset contains the specific incidents along with the different calculations used for reaching the Threat Level scores for 19 APTs. About EuRepoC: EuRepoC gathers, codes, and analyses publicly available information from over 200 sources and 600 Twitter accounts on a daily basis to report on dynamic trends in the global, and particularly the European, cyber threat environment. For more information on the scope and data collection methodology for the primary database from which this dataset is derived see: <a href=https://eurepoc.eu/methodology target=_blank>https://eurepoc.eu/methodology </a>. The APT profiles in which the Threat Level scores are used can be found here: <a href=https://eurepoc.eu/apts target=_blank>https://eurepoc.eu/apts </a>. AggregationAggregationAggregationAggregationCompilation/SynthesisCompilationSynthesisKompilation/SyntheseCompilationSynthesis Free access (without registration) - The research data can be downloaded directly by anyone without further limitations. CC BY 4.0: Attribution (https://creativecommons.org/licenses/by/4.0/deed.de)Freier Zugang (ohne Registrierung) - Die Forschungsdaten können von jedem direkt heruntergeladen werden. CC BY 4.0: Attribution (https://creativecommons.org/licenses/by/4.0/deed.de) http://dbkapps.gesis.org/dbkoai/oai.asp oai:dbk.gesis.org:SDN/10.7802_2494 2023-03-11 ddi:codebook:2_5