Structural analysis of whole-system provenance graphs

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Authors
Soman, J
Bytheway, T
Carata, L
Balakrishnan, ND
Sohan, R
Watson, RNM
Publication Date
2018
Journal Title
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Conference Name
Provenance Week
ISSN
0302-9743
ISBN
9783319983783
Publisher
Springer International Publishing
Volume
11017 LNCS
Pages
241-244
Type
Conference Object
Metadata
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Citation
Soman, J., Bytheway, T., Carata, L., Balakrishnan, N., Sohan, R., & Watson, R. (2018). Structural analysis of whole-system provenance graphs. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 11017 LNCS 241-244. https://doi.org/10.1007/978-3-319-98379-0_28
Abstract
System based provenance generates traces captured from various systems, a representation method for inferring these traces is a graph. These graphs are not well understood, and current work focuses on their extraction and processing, without a thorough characterization being in place. This paper studies the topology of such graphs. We an- alyze multiple Whole-system-Provenance graphs and present that they have hubs-and-authorities model of graphs as well as a power law distri- bution. Our observations allow for a novel understanding of the structure of Whole-system-Provenance graphs.
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DARPA
Identifiers
External DOI: https://doi.org/10.1007/978-3-319-98379-0_28
This record's URL: https://www.repository.cam.ac.uk/handle/1810/283476
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