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Provenance segmentation

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Original languageEnglish
Title of host publication8th USENIX Workshop on the Theory and Practice of Provenance (TaPP '16)
Place of PublicationWashington D.C, USA
Number of pages6
Publication statusPublished - 9 Jun 2016
Event8th USENIX Workshop on the Theory and Practice of Provenance - Washington D.C, United States
Duration: 8 Jun 20169 Jun 2016
https://www.usenix.org/conference/tapp16

Conference

Conference8th USENIX Workshop on the Theory and Practice of Provenance
Abbreviated titleTaPP 2016
CountryUnited States
CityWashington D.C
Period8/06/169/06/16
Internet address

Abstract

Using pervasive provenance to secure mainstream systems has recently attracted interest from industry and government. Recording, storing and managing all of the provenance associated with a system is a considerable challenge. Analyzing the resulting noisy, heterogeneous, continuously-growing provenance graph adds to this challenge, and apparently necessitates segmentation, that is, approximating, compressing or summarizing part or all of the graph in order to identify patterns or features. In this paper, we describe this new problem space for provenance data management, contrast it with related problem spaces addressed by prior work on provenance abstraction and sanitization, and highlight challenges and future directions toward solutions to the provenance segmentation problem.

Event

8th USENIX Workshop on the Theory and Practice of Provenance

8/06/169/06/16

Washington D.C, United States

Event: Conference

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