Verifiable round-robin scheme for smart homes

Nisha Panwar, Shantanu Sharma, Guoxi Wang, Sharad Mehrotra, Nalini Venkatasubramanian

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

3 Scopus citations

Abstract

Advances in sensing, networking, and actuation technologies have resulted in the IoT wave that is expected to revolutionize all aspects of modern society. This paper focuses on the new challenges of privacy that arise in IoT in the context of smart homes. Specifically, the paper focuses on preventing the user’s privacy via inferences through channel and in-home device activities. We propose a method for securely scheduling the devices while decoupling the device and channels activities. The proposed solution avoids any attacks that may reveal the coordinated schedule of the devices, and hence, also, assures that inferences that may compromise individual’s privacy are not leaked due to device and channel level activities. Our experiments also validate the proposed approach, and consequently, an adversary cannot infer device and channel activities by just observing the network traffic.

Original languageEnglish (US)
Title of host publicationCODASPY 2019 - Proceedings of the 9th ACM Conference on Data and Application Security and Privacy
PublisherAssociation for Computing Machinery, Inc
Pages49-60
Number of pages12
ISBN (Electronic)9781450360999
DOIs
StatePublished - Mar 13 2019
Externally publishedYes
Event9th ACM Conference on Data and Application Security and Privacy, CODASPY 2019 - Richardson, United States
Duration: Mar 25 2019Mar 27 2019

Publication series

NameCODASPY 2019 - Proceedings of the 9th ACM Conference on Data and Application Security and Privacy

Conference

Conference9th ACM Conference on Data and Application Security and Privacy, CODASPY 2019
Country/TerritoryUnited States
CityRichardson
Period3/25/193/27/19

Keywords

  • Channel and device activity
  • Inference attacks
  • Internet of things
  • Smart homes
  • User privacy

ASJC Scopus subject areas

  • Information Systems
  • Computer Science Applications
  • Software

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