A Network Monitoring Game with Heterogeneous Component Criticality Levels Article Swipe
Jezdimir Milošević
,
Mathieu Dahan
,
Saurabh Amin
,
Henrik Sandberg
·
YOU?
·
· 2019
· Open Access
·
· DOI: https://doi.org/10.1109/cdc40024.2019.9029427
YOU?
·
· 2019
· Open Access
·
· DOI: https://doi.org/10.1109/cdc40024.2019.9029427
We consider an attacker-operator game for monitoring a large-scale network that is comprised on components that differ in their criticality levels. In this zero-sum game, the operator seeks to position a limited number of sensors to monitor the network against an attacker who strategically targets a network component. The operator (resp. attacker) seeks to minimize (resp. maximize) the network loss. To study the properties of mixed-strategy Nash Equilibria of this game, we first study two simple instances: (i) When component sets monitored by individual sensor locations are mutually disjoint; (ii) When only a single sensor is positioned, but with possibly overlapping monitoring component sets. Our analysis reveals new insights on how criticality levels impact the players equilibrium strategies. Next, we extend a previously known approach to obtain an approximate Nash equilibrium for the general case of the game. This approach uses solutions to minimum set cover and maximum set packing problems to construct an approximate Nash equilibrium. Finally, we implement a column generation procedure to improve this solution and numerically evaluate the performance of our approach.
Related Topics
Concepts
Nash equilibrium
Disjoint sets
Component (thermodynamics)
Computer science
Criticality
Operator (biology)
Strategy
Mathematical optimization
Set (abstract data type)
Game theory
Construct (python library)
Set packing
Mathematics
Mathematical economics
Computer network
Discrete mathematics
Gene
Nuclear physics
Repressor
Thermodynamics
Biochemistry
Programming language
Transcription factor
Chemistry
Physics
Metadata
- Type
- preprint
- Language
- en
- Landing Page
- https://doi.org/10.1109/cdc40024.2019.9029427
- OA Status
- green
- Cited By
- 6
- References
- 28
- Related Works
- 20
- OpenAlex ID
- https://openalex.org/W2920881141
All OpenAlex metadata
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https://openalex.org/W2920881141Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1109/cdc40024.2019.9029427Digital Object Identifier
- Title
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A Network Monitoring Game with Heterogeneous Component Criticality LevelsWork title
- Type
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preprintOpenAlex work type
- Language
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enPrimary language
- Publication year
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2019Year of publication
- Publication date
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2019-12-01Full publication date if available
- Authors
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Jezdimir Milošević, Mathieu Dahan, Saurabh Amin, Henrik SandbergList of authors in order
- Landing page
-
https://doi.org/10.1109/cdc40024.2019.9029427Publisher landing page
- Open access
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YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
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https://arxiv.org/pdf/1903.07261Direct OA link when available
- Concepts
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Nash equilibrium, Disjoint sets, Component (thermodynamics), Computer science, Criticality, Operator (biology), Strategy, Mathematical optimization, Set (abstract data type), Game theory, Construct (python library), Set packing, Mathematics, Mathematical economics, Computer network, Discrete mathematics, Gene, Nuclear physics, Repressor, Thermodynamics, Biochemistry, Programming language, Transcription factor, Chemistry, PhysicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
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6Total citation count in OpenAlex
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2023: 2, 2021: 1, 2020: 2, 2019: 1Per-year citation counts (last 5 years)
- References (count)
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28Number of works referenced by this work
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20Other works algorithmically related by OpenAlex
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