Automated Author ProfileWilke, Luca
University of Lübeck0009-0005-5785-9179
Wilke, Luca
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: 0.8 (sum of 1 dataset Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
This repository contains an archived version of the artifact for <i>'BadRAM: Practical Memory Aliasing Attacks on Trusted Execution Environments'</i> (commit 980c1be). BadRAM leverages malicious SPD contents to bypass TEE protections by introducing memory aliases. This artifact includes the scripts and tools used in our experiments, such as the Python scripts to unlock and overwrite SPD contents, and the FAI tool for finding memory aliases. It also provides the proof-of-concept implementations and end-to-end attacks described in the paper.
Authors
- De Meulemeester, Jesse ;
- Wilke, Luca ;
- Oswald, David ;
- Eisenbarth, Thomas ;
- Verbauwhede, Ingrid ;
- Van Bulck, Jo