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Defense strategies for asymmetric networked systems with discrete components

Sensors (Switzerland), ISSN: 1424-8220, Vol: 18, Issue: 5
2018
  • 14
    Citations
  • 0
    Usage
  • 14
    Captures
  • 1
    Mentions
  • 0
    Social Media
Metric Options:   Counts1 Year3 Year

Metrics Details

  • Citations
    14
    • Citation Indexes
      14
  • Captures
    14
  • Mentions
    1
    • Blog Mentions
      1
      • Blog
        1

Most Recent Blog

Sensors, Vol. 18, Pages 1421: Defense Strategies for Asymmetric Networked Systems with Discrete Components

Sensors, Vol. 18, Pages 1421: Defense Strategies for Asymmetric Networked Systems with Discrete Components Sensors doi: 10.3390/s18051421 Authors: Nageswara Rao Chris Ma Kjell Hausken Fei

Article Description

We consider infrastructures consisting of a network of systems, each composed of discrete components. The network provides the vital connectivity between the systems and hence plays a critical, asymmetric role in the infrastructure operations. The individual components of the systems can be attacked by cyber and physical means and can be appropriately reinforced to withstand these attacks. We formulate the problem of ensuring the infrastructure performance as a game between an attacker and a provider, who choose the numbers of the components of the systems and network to attack and reinforce, respectively. The costs and benefits of attacks and reinforcements are characterized using the sum-form, product-form and composite utility functions, each composed of a survival probability term and a component cost term. We present a two-level characterization of the correlations within the infrastructure: (i) the aggregate failure correlation function specifies the infrastructure failure probability given the failure of an individual system or network, and (ii) the survival probabilities of the systems and network satisfy first-order differential conditions that capture the component-level correlations using multiplier functions. We derive Nash equilibrium conditions that provide expressions for individual system survival probabilities and also the expected infrastructure capacity specified by the total number of operational components. We apply these results to derive and analyze defense strategies for distributed cloud computing infrastructures using cyber-physical models.

Bibliographic Details

Rao, Nageswara S V; Ma, Chris Y T; Hausken, Kjell; He, Fei; Yau, David K Y; Zhuang, Jun

MDPI AG

Chemistry; Computer Science; Physics and Astronomy; Biochemistry, Genetics and Molecular Biology; Engineering

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