Privacy-Aware Sensor Data Upload Management for Securely Receiving Smart Home Services

Sopicha Stirapongsasuti, Yugo Nakamura, Keiichi Yasumoto

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

Abstract

Recently smart homes equipped with many sensors and IoT devices are widespread. However, when smart home users receive smart home services like elderly monitoring, they need to upload their privacy sensitive data to potentially untrusted cloud servers where the service quality (user's benefit) depends on the amount/frequency of the uploaded data. In this paper, aiming to minimize the risk of privacy leakage and maximize users' benefit obtained through services, we propose a novel privacy-aware data management method that works on a smart-home system composed of smart homes with sensors, edge computing servers, and a cloud server. We formulate a combinatorial optimization problem which determines the best choice of data type (raw or activity label recognized at the edge) and upload frequency in each time slot taking into account the constraints of edge server resources and users' budgets as well as the k-anonymity of activities and users' preferences. Since the target problem is NP-hard, we propose a heuristic algorithm to derive semi-optimal solutions by determining choices with better objective function values in a greedy manner. Through experiments using smart-home open dataset, we confirmed that the proposed method outperforms the conventional methods using only a cloud server.

Original languageEnglish
Title of host publicationProceedings - 2020 IEEE International Conference on Smart Computing, SMARTCOMP 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages214-219
Number of pages6
ISBN (Electronic)9781728169972
DOIs
Publication statusPublished - Sep 2020
Externally publishedYes
Event6th IEEE International Conference on Smart Computing, SMARTCOMP 2020 - Virtual, Bologna, Italy
Duration: Sep 14 2020Sep 17 2020

Publication series

NameProceedings - 2020 IEEE International Conference on Smart Computing, SMARTCOMP 2020

Conference

Conference6th IEEE International Conference on Smart Computing, SMARTCOMP 2020
Country/TerritoryItaly
CityVirtual, Bologna
Period9/14/209/17/20

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Information Systems and Management
  • Artificial Intelligence
  • Computer Networks and Communications

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