VENUS: Verifiable range query in data streaming

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

研究成果: Conference contribution同行評審

9 引文 斯高帕斯(Scopus)

摘要

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.

原文English
主出版物標題INFOCOM 2018 - IEEE Conference on Computer Communications Workshops
發行者Institute of Electrical and Electronics Engineers Inc.
頁面160-165
頁數6
ISBN(電子)9781538659793
DOIs
出版狀態Published - 6 7月 2018
事件2018 IEEE Conference on Computer Communications Workshops, INFOCOM 2018 - Honolulu, 美國
持續時間: 15 4月 201819 4月 2018

出版系列

名字INFOCOM 2018 - IEEE Conference on Computer Communications Workshops

Conference

Conference2018 IEEE Conference on Computer Communications Workshops, INFOCOM 2018
國家/地區美國
城市Honolulu
期間15/04/1819/04/18

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