VENUS: Verifiable range query in data streaming

I. Chen Tsai, Chia Mu Yu, Haruo Yokota, Sy Yen Kuo

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

Internet of Things (IoT) devices have gained the popularity in our daily life. As IoT devices are usually resource-constrained, the sensed data cannot be kept in the local memory and need to be outsourced to the cloud in a streaming manner. However, the untrusted cloud might return the falsified answer to the query made by the user. Verifiable data outsourcing addresses the similar problem, but the design challenge here mainly comes with the fact that the user can only have the vision on a single data at any time slot. In this paper, we propose VENUS to achieve verifiable range query in data streaming. In particular, VENUS ensures data confidentiality and query answer integrity of the range query in the data streaming, by taking advantage of our proposed flexible and authenticated data structure HPBTree. The simulation and analytical results demonstrate the efficiency and effectiveness of VENUS.

Original languageEnglish
Title of host publicationINFOCOM 2018 - IEEE Conference on Computer Communications Workshops
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages160-165
Number of pages6
ISBN (Electronic)9781538659793
DOIs
StatePublished - 6 Jul 2018
Event2018 IEEE Conference on Computer Communications Workshops, INFOCOM 2018 - Honolulu, United States
Duration: 15 Apr 201819 Apr 2018

Publication series

NameINFOCOM 2018 - IEEE Conference on Computer Communications Workshops

Conference

Conference2018 IEEE Conference on Computer Communications Workshops, INFOCOM 2018
CountryUnited States
CityHonolulu
Period15/04/1819/04/18

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