Resilience-Based Performance Measures for Next-Generation Systems Security Engineering

EasyChair Preprint no. 6810

Abstract

Performance measures commonly used in systems security engineering tend to be static, linear, and have limited utility in addressing challenges to security performance from increasingly complex risk environments, adversary innovation, and disruptive technologies. Leveraging key concepts from resilience science offers an opportunity to advance next-generation systems security engineering to better describe the complexities, dynamism, and non-linearity observed in security performance—particularly in response to these challenges. This article introduces a multilayer network model and modified Continuous Time Markov Chain model that explicitly captures interdependencies in systems security engineering. The results and insights from a multilayer network model of security for a hypothetical nuclear power plant introduce how network-based metrics can incorporate resilience concepts into performance metrics for next generation systems security engineering.

Keyphrases: complex system, high consequence facility security, multilayer networks, Resilience, Systems Security Engineering

@Booklet{EasyChair:6810,
  author = {Adam Williams and Thomas Adams and Jamie Wingo and Gabriel Birch and Susan Caskey and Elizabeth Fleming and Thushara Gunda},
  title = {Resilience-Based Performance Measures for Next-Generation Systems Security Engineering},
  howpublished = {EasyChair Preprint no. 6810},

  year = {EasyChair, 2021}}