Data Reliability Challenge of Cyber-Physical Systems

Research output: Chapter in Book/Report/Conference proceedingChapter


A growing number of cyber-physical systems (CPSs) application domains, such as transportation, energy, sustainability, health, and disaster response, involve humans in nontrivial ways. An emerging application paradigm along with this trend is the use of humans as sensors, which is also commonly known as social sensing. A critical challenge in social sensing is that data sources may be unreliable: a common thread in CPS research focusing on the reliability of CPSs. Current research has mostly focused on the correctness of temporal behavior and correctness of software function. In order for social sensing to become a viable component in CPS feedback loops, it is crucial to understand the correctness of collected observations from unreliable individuals as well. We call this latter challenge the data reliability challenge. This chapter will review recent progress and the state-of-the-art techniques developed in various communities to address the emerging data reliability challenge in CPS.

Original languageEnglish (US)
Title of host publicationCyber-Physical Systems
Subtitle of host publicationFoundations, Principles and Applications
EditorsHoubing Song, Danda B Rawat, Sabina Jeschke, Christian Brecher
PublisherAcademic Press
Number of pages11
ISBN (Electronic)9780128038741
ISBN (Print)9780128038017
StatePublished - 2017
Externally publishedYes

Publication series

NameIntelligent Data-Centric Systems: Sensor-Collected Intelligence


  • Cyber-physical systems
  • Data reliability
  • Humans as sensors
  • Maximum likelihood estimation
  • Performance bounds
  • Smart cities
  • Social sensing

ASJC Scopus subject areas

  • General Computer Science


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