Detecting and identifying faulty IoT devices in smart home with context extraction

Jiwon Choi, Hayoung Jeoung, Jihun Kim, Youngjoo Ko, Wonup Jung, Hanjun Kim, Jong Kim

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Citations (Scopus)

Abstract

A fast and reliable method to detect faulty IoT devices is indispensable in IoT environments. In this paper, we present DICE, an automatic method to detect and identify faulty IoT devices with context extraction. Our system works in two phases. In a precomputation phase, the system precomputes sensor correlation and the transition probability between sensor states known as context. During a real-time phase, the system finds a violation of sensor correlation and transition to detect and identify the faults. In detection, we analyze the sensor data to find any missing or newly reacting IoT devices that are deviating from already grouped correlated sensors, and state transition to find the presence of an abnormal sequence. Then, the system identifies the faulty device by comparing the problematic context with the probable ones. We demonstrate that DICE identifies faulty devices accurately and promptly through the evaluation on various fault types and datasets.

Original languageEnglish
Title of host publicationProceedings - 48th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, DSN 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages610-621
Number of pages12
ISBN (Electronic)9781538655955
DOIs
Publication statusPublished - 2018 Jul 19
Event48th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, DSN 2018 - Luxembourg City, Luxembourg
Duration: 2018 Jun 252018 Jun 28

Publication series

NameProceedings - 48th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, DSN 2018

Other

Other48th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, DSN 2018
CountryLuxembourg
CityLuxembourg City
Period18/6/2518/6/28

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All Science Journal Classification (ASJC) codes

  • Safety, Risk, Reliability and Quality
  • Computer Networks and Communications
  • Hardware and Architecture
  • Energy Engineering and Power Technology

Cite this

Choi, J., Jeoung, H., Kim, J., Ko, Y., Jung, W., Kim, H., & Kim, J. (2018). Detecting and identifying faulty IoT devices in smart home with context extraction. In Proceedings - 48th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, DSN 2018 (pp. 610-621). [8416520] (Proceedings - 48th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, DSN 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/DSN.2018.00068