Optimal Inspection Plans

Stefan Rass, Stefan Schauer, Sandra König, Quanyan Zhu

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

In this chapter, we consider games for the computation of optimal strategies of how, how often, and when to inspect along a production line, or general industrial process. We review basic concepts of statistical tests, conducted whenever the defender chooses its action to “inspect”, and to understand cheating strategies for the adversary trying to escape detection along the statistical test. This non-detection game is then embedded into an outer sequential game over several stages of inspection, accounting for limited resources and possibilities of the defender to check repeatedly. We also consider inspections as a defense pattern against advanced persistent threat (APT), with two models suitable for two distinct type of APTs: the FlipIt game is discussed as a model when the APT’s goal is to gain longest possible control over an infrastructure, without wishing to damage or destroy it permanently. Complementary to this is the Cut-The-Rope game about defending against an APT whose goal is hitting a vital asset and to destroy or at least permanently damage a critical infrastructure.

Original languageEnglish (US)
Title of host publicationAdvanced Sciences and Technologies for Security Applications
PublisherSpringer
Pages179-209
Number of pages31
DOIs
StatePublished - 2020

Publication series

NameAdvanced Sciences and Technologies for Security Applications
ISSN (Print)1613-5113
ISSN (Electronic)2363-9466

ASJC Scopus subject areas

  • Safety, Risk, Reliability and Quality
  • Safety Research
  • Political Science and International Relations
  • Computer Science Applications
  • Computer Networks and Communications
  • Health, Toxicology and Mutagenesis

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  • Cite this

    Rass, S., Schauer, S., König, S., & Zhu, Q. (2020). Optimal Inspection Plans. In Advanced Sciences and Technologies for Security Applications (pp. 179-209). (Advanced Sciences and Technologies for Security Applications). Springer. https://doi.org/10.1007/978-3-030-46908-5_9