VENUS: Verifiable range query in data streaming

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

doi:10.1109/INFCOMW.2018.8406898

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 proceeding › Conference contribution › peer-review

8 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 language	English
Title of host publication	INFOCOM 2018 - IEEE Conference on Computer Communications Workshops
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	160-165
Number of pages	6
ISBN (Electronic)	9781538659793
DOIs	https://doi.org/10.1109/INFCOMW.2018.8406898
State	Published - 06 07 2018
Externally published	Yes
Event	2018 IEEE Conference on Computer Communications Workshops, INFOCOM 2018 - Honolulu, United States Duration: 15 04 2018 → 19 04 2018

Publication series

Name	INFOCOM 2018 - IEEE Conference on Computer Communications Workshops

Conference

Conference	2018 IEEE Conference on Computer Communications Workshops, INFOCOM 2018
Country/Territory	United States
City	Honolulu
Period	15/04/18 → 19/04/18

Bibliographical note

Publisher Copyright:
© 2018 IEEE.

Access to Document

10.1109/INFCOMW.2018.8406898

Cite this

@inproceedings{7be104fae6044743b27105eed6caced6,

title = "VENUS: Verifiable range query in data streaming",

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.",

author = "Tsai, {I. Chen} and Yu, {Chia Mu} and Haruo Yokota and Kuo, {Sy Yen}",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 2018 IEEE Conference on Computer Communications Workshops, INFOCOM 2018 ; Conference date: 15-04-2018 Through 19-04-2018",

year = "2018",

month = jul,

day = "6",

doi = "10.1109/INFCOMW.2018.8406898",

language = "英语",

series = "INFOCOM 2018 - IEEE Conference on Computer Communications Workshops",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "160--165",

booktitle = "INFOCOM 2018 - IEEE Conference on Computer Communications Workshops",

address = "美国",

}

Tsai, IC, Yu, CM, Yokota, H & Kuo, SY 2018, VENUS: Verifiable range query in data streaming. in INFOCOM 2018 - IEEE Conference on Computer Communications Workshops. INFOCOM 2018 - IEEE Conference on Computer Communications Workshops, Institute of Electrical and Electronics Engineers Inc., pp. 160-165, 2018 IEEE Conference on Computer Communications Workshops, INFOCOM 2018, Honolulu, United States, 15/04/18. https://doi.org/10.1109/INFCOMW.2018.8406898

VENUS: Verifiable range query in data streaming. / Tsai, I. Chen; Yu, Chia Mu; Yokota, Haruo et al.
INFOCOM 2018 - IEEE Conference on Computer Communications Workshops. Institute of Electrical and Electronics Engineers Inc., 2018. p. 160-165 (INFOCOM 2018 - IEEE Conference on Computer Communications Workshops).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - VENUS

T2 - 2018 IEEE Conference on Computer Communications Workshops, INFOCOM 2018

AU - Tsai, I. Chen

AU - Yu, Chia Mu

AU - Yokota, Haruo

AU - Kuo, Sy Yen

PY - 2018/7/6

Y1 - 2018/7/6

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AB - 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.

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VENUS: Verifiable range query in data streaming

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