Inferring User Activities from IoT Device Events in Smart Homes: Challenges and Opportunities

Xuanli Lin, Yinxin Wan, Kuai Xu, Feng Wang, Guoliang Xue

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

Abstract

The ubiquitous deployment of IoT devices in smart homes has led to growing research interests in studying the home network traffic for various applications such as network measurements, device profiling, and IoT device event inference. Recent studies have shown that user activities can be inferred from a home network using extracted device event logs. However, existing solutions for user activity inference such as IoTMosaic and E2AP have limitations when handling ambiguities caused by device malfunctions. In this paper, we first identify the challenges faced by the existing user activity inference algorithms and the root causes of their poor performances on certain types of inputs. We then show that useful information can still be obtained even in situations where device malfunctions introduce ambiguities in user activity patterns. We achieve so by designing an extension to the existing algorithms. We also apply our extension in a digital forensics application. Our extensive experimental evaluations demonstrate that our solutions can effectively provide insights to user activity inference despite the presence of indistinguishable user activity patterns.

Original languageEnglish (US)
Title of host publicationICCCN 2022 - 31st International Conference on Computer Communications and Networks
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665497268
DOIs
StatePublished - 2022
Externally publishedYes
Event31st International Conference on Computer Communications and Networks, ICCCN 2022 - Virtual, Online, United States
Duration: Jul 25 2022Jul 27 2022

Publication series

NameProceedings - International Conference on Computer Communications and Networks, ICCCN
Volume2022-July
ISSN (Print)1095-2055

Conference

Conference31st International Conference on Computer Communications and Networks, ICCCN 2022
Country/TerritoryUnited States
CityVirtual, Online
Period7/25/227/27/22

Keywords

  • Internet-of-things
  • challenges and opportunities
  • device events
  • user activity inference

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Hardware and Architecture
  • Software

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