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Secure Network Provenance

Secure Network Provenance is a forensic technique for distributed systems. It provides reliable results even when some nodes are faulty or have been compromised by an adversary.

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Secure Network Provenance | snp.cis.upenn.edu Reviews
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Secure Network Provenance is a forensic technique for distributed systems. It provides reliable results even when some nodes are faulty or have been compromised by an adversary.
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secure network provenance,overview,publications,bibtex,yang's slides,ang's slides,technical report,application aware anonymity platform,elsevier computer networks,distributed time aware provenance,hotnets x,sigmod '11 demo,technical report ms cis 10 28
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Secure Network Provenance | snp.cis.upenn.edu Reviews

https://snp.cis.upenn.edu

Secure Network Provenance is a forensic technique for distributed systems. It provides reliable results even when some nodes are faulty or have been compromised by an adversary.

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Andreas Haeberlen

http://www.cis.upenn.edu/~ahae

Department of Computer and Information Science. 3330 Walnut Street, Philadelphia, PA 19104-6389. E-mail: ahae (at) cis (dot) upenn (another dot) edu. Phone: 1 (215) 746-6167. Defenses against denial-of-service attacks. And on differential privacy. I was awarded the Otto Hahn Medal. By the Max Planck Society. For my research on accountability, and I am the recipient of a NSF CAREER award. As well as the Ford Motor Company Award for Faculty Advising. I am currently looking for new PhD students. Ang Chen, Y...

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Secure Network Provenance

As long as the system is working correctly, emerging network provenance. The goal of this project is to provide secure network provenance. Automated Bug Removal for Software-Defined Networks. Yang Wu, Ang Chen, Andreas Haeberlen, Wenchao Zhou, and Boon Thau Loo. To appear in: 14th USENIX Symposium on Networked Systems Design and Implementation (NSDI '17). Boston, MA, March 2017. Data Provenance at Internet Scale: Architecture, Experiences, and the Road Ahead. Chaminade, CA, January 2017. 11th USENIX Symp...

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