Dynamic Possible Source Count Analysis for Data Leakage Prevention
Author:
Affiliation:
1. The University of Tokyo, Tokyo, Japan / IBM Research, Tokyo, Japan
2. The University of Tokyo, Tokyo, Japan
Funder
JST PRESTO
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3679007.3685065
Reference53 articles.
1. Multiple facets for dynamic information flow
2. Abhishek Bichhawat, Vineet Rajani, Deepak Garg, and Christian Hammer. 2014. Information Flow Control in WebKit's JavaScript Bytecode. In Principles of Security and Trust, Martín Abadi and Steve Kremer (Eds.). Springer Berlin Heidelberg, Berlin, Heidelberg, 159-178.
3. Abhishek Bichhawat Vineet Rajani Deepak Garg and Christian Hammer. 2021. Permissive runtime information flow control in the presence of exceptions. Journal of Computer Security 29 (03 2021 ) 1-41. https://doi.org/10.3233/JCS-211385 10.3233/JCS-211385
4. Short Paper: Dynamic leakage
5. Lorenzo Cavallaro, Prateek Saxena, and R. Sekar. 2008. On the Limits of Information Flow Techniques for Malware Analysis and Containment. In Proceedings of the 5th international conference on Detection of Intrusions and Malware, and Vulnerability Assessment, Vol. 5137. 143-163.
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