Citation:
Xueyuan Han, Thomas Pasquier, and Margo Seltzer. 2018. “Provenance-based Intrusion Detection: Opportunities and Challenges.” In Workshop on the Theory and Practice of Provenance (TaPP’18). USENIX.
 | tapp-2018.pdf | 104 KB |
Provenance@Harvard
Capturing, Storing and Analysing Data Provenance
Harvard John A. Paulson
School of Engineering & Applied Sciences
Recent Publications
- Using Introspection to Collect Provenance in R
- Runtime Analysis of Whole-System Provenance
- Provenance-based Intrusion Detection: Opportunities and Challenges
- Sharing and Preserving Computational Analyses for Posterity with encapsulator
- If these data could talk
- Data provenance to audit compliance with privacy policy in the Internet of Things
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