Automated Author ProfileSteiger, Stefan
Heidelberg University, University Computing Centre0000-0002-1260-3699
Steiger, Stefan
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets for this author
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the author's datasets
Total Mentions
Total mentions of the author's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 9.8 (sum of 3 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
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.
Authors
- Harnisch, Sebastian ;
- Zettl, Kerstin ;
- Steiger, Stefan
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Authors
- Harnisch, Sebastian ;
- Zettl, Kerstin ;
- Steiger, Stefan