Heidelberg Cyber Conflict Dataset (HD-CY.CON)

• Verfasst von: Harnisch, Sebastian [VerfasserIn]
• Verfasst von: Zettl-Schabath, Kerstin [VerfasserIn]
• Verfasst von: Steiger, Stefan [VerfasserIn]
• Titel: Heidelberg Cyber Conflict Dataset (HD-CY.CON)
• Verf.angabe: Sebastian Harnisch, Kerstin Zettl, Stefan Steiger
• Verlagsort: Heidelberg
• Verlag: Universität
• E-Jahr: 2021
• Jahr: 2021-12-21
• Umfang: 1 Online-Ressource (2 Files)
• Fussnoten: Gesehen am 22.06.2023
• DOI: doi:10.11588/data/KDSFRB
• Datenträger: Online-Ressource
• Dokumenttyp: Forschungsdaten
• Dokumenttyp: Datenbank
• Sprache: eng
• Bibliogr. Hinweis: Forschungsdaten zu: Asymmetrien in Cyberkonflikten
• Bibliogr. Hinweis: Forschungsdaten zu: Zettl-Schabath, Kerstin, 1993 - : Macht im Cyberspace
• Bibliogr. Hinweis: Forschungsdaten zu: Harnisch, Sebastian, 1967 - : Blame Game im Cyberspace
• Bibliogr. Hinweis: Forschungsdaten zu: Harnisch, Sebastian, 1967 - : Transnationale Verantwortung und Normemergenz im Cyberraum
• Bibliogr. Hinweis: Forschungsdaten zu: Zettl-Schabath, Kerstin, 1993 - : A brief history of cyberattacks in 2019
• Bibliogr. Hinweis: Forschungsdaten zu: Steiger, Stefan, 1985 - : Conceptualising conflicts in cyberspace
• Sach-SW: Social Sciences
• K10plus-PPN: 1850835217
• K10plus-PPN:
  Universitätsbibliothek
• Lokale URL UB: Zum Volltext

Abstract

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.