C
Cynthia A. Phillips
Researcher at Sandia National Laboratories
Publications - 158
Citations - 6703
Cynthia A. Phillips is an academic researcher from Sandia National Laboratories. The author has contributed to research in topics: Approximation algorithm & Integer programming. The author has an hindex of 35, co-authored 154 publications receiving 6242 citations. Previous affiliations of Cynthia A. Phillips include Washington University in St. Louis & United States Department of Energy.
Papers
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Proceedings ArticleDOI
A graph-based system for network-vulnerability analysis
TL;DR: A graph-based tool can identify the set of attack paths that have a high probability of success (or a low effort cost) for the attacker, and is used to test the effectiveness of making configuration changes, implementing an intrusion detection system, etc.
Journal ArticleDOI
The battle of the water sensor networks (BWSN): A design challenge for engineers and algorithms
Avi Ostfeld,James G. Uber,Elad Salomons,Jonathan W. Berry,William E. Hart,Cynthia A. Phillips,Jean-Paul Watson,G. Dorini,Philip Jonkergouw,Zoran Kapelan,Francesco di Pierro,Soon-Thiam Khu,Dragan Savic,Demetrios G. Eliades,Marios M. Polycarpou,Santosh R. Ghimire,Brian D. Barkdoll,R. Gueli,Jinhui Jeanne Huang,Edward A. McBean,William James,Andreas Krause,Jure Leskovec,Shannon L. Isovitsch,Jianhua Xu,Carlos Guestrin,Jeanne M. VanBriesen,Mitchell J. Small,Paul S. Fischbeck,Ami Preis,Marco Propato,Olivier Piller,Gary B. Trachtman,Zheng Yi Wu,Thomas M. Walski +34 more
TL;DR: The Battle of the Water Sensor Networks (BWSN) was undertaken as part of the 8th Annual Water Distillery Safety Week, which explored how design algorithms compare to the efforts of human designers for practical design of sensor networks.
Proceedings ArticleDOI
Computer-attack graph generation tool
TL;DR: The status of the tool is presented and implementation issues are discussed, especially focusing on the data input needs and methods for eliminating redundant paths and nodes in the graph.
Journal ArticleDOI
Sensor Placement in Municipal Water Networks
Jonathan W. Berry,Jonathan W. Berry,Lisa Fleischer,Lisa Fleischer,William E. Hart,William E. Hart,Cynthia A. Phillips,Cynthia A. Phillips,Jean-Paul Watson,Jean-Paul Watson +9 more
TL;DR: A model for optimizing the placement of sensors in municipal water networks to detect maliciously injected contaminants is presented, which finds optimal sensor placements for three test networks with synthetic risk and population data.
Journal ArticleDOI
Sensor Placement in Municipal Water Networks with Temporal Integer Programming Models
TL;DR: This is the first MIP model to base sensor placement decisions on such data, compromising over many individual contamination events, and quantifies the benefits of sensing contamination at different junctions in the network.