Detecting and mitigating abnormal events in large scale networks: budget constrained placement on smart grids

Conference · Tue Oct 19 04:00:00 EDT 2010

DOI:https://doi.org/10.1109/HICSS.2011.153· OSTI ID:1038883

Santhi, Nandakishore ^[1]; Pan, Feng ^[1]

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1. Los Alamos National Laboratory

Several scenarios exist in the modern interconnected world which call for an efficient network interdiction algorithm. Applications are varied, including various monitoring and load shedding applications on large smart energy grids, computer network security, preventing the spread of Internet worms and malware, policing international smuggling networks, and controlling the spread of diseases. In this paper we consider some natural network optimization questions related to the budget constrained interdiction problem over general graphs, specifically focusing on the sensor/switch placement problem for large-scale energy grids. Many of these questions turn out to be computationally hard to tackle. We present a particular form of the interdiction question which is practically relevant and which we show as computationally tractable. A polynomial-time algorithm will be presented for solving this problem.

• Research Organization: Los Alamos National Laboratory (LANL)
• Sponsoring Organization: DOE
• DOE Contract Number: AC52-06NA25396
• OSTI ID: 1038883
• Report Number(s): LA-UR-10-07071; LA-UR-10-7071
• Country of Publication: United States
• Language: English

Related Subjects

97 MATHEMATICS AND COMPUTING
ALGORITHMS
COMPUTER NETWORKS
INTERNET
MONITORING
OPTIMIZATION
SECURITY