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Dependability analysis of IoT systems using dynamic fault trees analysis

Dependability analysis of IoT systems using dynamic fault trees analysis

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The Internet of Things (IoT) is proving to be an essential part of the fourth industrial revolution (4IR). In highly critical environments, IoT systems are required to be secure, reliable and available. Although there are many investigations on the security and privacy of IoT systems, there are relatively far fewer efforts expended on their dependability. The individual `things' of an IoT system may be unfailing, but that does not make the complete IoT system - from sensor to server - dependable. In this chapter, a technique is proposed to evaluate the dependability of a complete IoT ecosystem by using a modified version of the classical fault tree analysis (FTA) and Monte Carlo simulation techniques. The propose technique is applied to a hypothetical case study, and the results are promising.

Chapter Contents:

  • 20.1 Introduction
  • 20.2 Background
  • 20.2.1 IoT security
  • 20.2.2 IoT dependability
  • 20.2.3 Fault tree analysis
  • 20.3 Methodology
  • 20.4 Case study
  • 20.5 Conclusion
  • References

Inspec keywords: fault trees; Monte Carlo methods; Internet of Things

Other keywords: classical fault tree analysis; 4IR; fourth industrial revolution; dynamic fault trees analysis; Monte Carlo simulation techniques; complete IoT ecosystem; dependability analysis; FTA; Internet of Things

Subjects: Combinatorial mathematics; Monte Carlo methods; Ubiquitous and pervasive computing

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