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Heidelberg Cyber Conflict Dataset (HD-CY.CON)

The Heidelberg Cyber Conflict Dataset (HD-CY.CON) has been developed at the Institute for Political Science, Heidelberg University, under the guidance of Prof. Dr. Sebastian Harnisch. HD-CY.CON is a comprehensive dataset on malicious cyber operations, integrating categories of offline conflict resea...

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Bibliographic Details
Main Authors: Harnisch, Sebastian (Author) , Zettl-Schabath, Kerstin (Author) , Steiger, Stefan (Author)
Format: Database Research Data
Language:English
Published: Heidelberg Universität 2021-12-21
DOI:10.11588/data/KDSFRB
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Forschungsdaten
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Online Access:Resolving-System, kostenfrei, Volltext: https://doi.org/10.11588/data/KDSFRB
Verlag, kostenfrei, Volltext: https://heidata.uni-heidelberg.de/dataset.xhtml?persistentId=doi:10.11588/data/KDSFRB
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Author Notes:Sebastian Harnisch, Kerstin Zettl, Stefan Steiger
Description
Summary:The Heidelberg Cyber Conflict Dataset (HD-CY.CON) has been developed at the Institute for Political Science, Heidelberg University, under the guidance of Prof. Dr. Sebastian Harnisch. HD-CY.CON is a comprehensive dataset on malicious cyber operations, integrating categories of offline conflict research with characteristics of online conflicts. Drawing on a broad variety of news sources, technical threat research reports by IT-companies and information offered by state security agencies, HD-CY.CON (currently) comprises data on 1265 cyber incidents from 2000 - 2019. The data set includes operations by states and various non-state-actors, both as attackers and victims. While existing cyber conflict datasets focus on generic categories, such as "state or state-supported" cyber operations, the Heidelberg data set offers a more nuanced differentiation of political and technical attribution statements, including the attributing initiator and its characteristics. In addition, HD-CY.CON uses conflict categories of the Conflict Barometer by the Heidelberg Institute for International Conflict Research (HIIK), thus allowing a closer examination of interaction between between offline-, and online conflict dynamics. Cyber incidents are coded according to categories of the HD.CY-CON codebook and differentiated into three main incident types: data theft, disruption and hijacking. Moreover, they are accredited an intensity score, based on technical and socio-political indicators.
Item Description:Gesehen am 22.06.2023
Physical Description:Online Resource
DOI:10.11588/data/KDSFRB

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