https://scholars.lib.ntu.edu.tw/handle/123456789/581158
標題: | VENUS: Verifiable range query in data streaming | 作者: | Tsai I.-C Yu C.-M Yokota H Kuo S.-Y. SY-YEN KUO |
關鍵字: | Data reduction; Internet of things; Analytical results; Authenticated data structures; Data confidentiality; Data outsourcing; Data streaming; Design challenges; Internet of Things (IOT); Local memory; Query processing | 公開日期: | 2018 | 起(迄)頁: | 160-165 | 來源出版物: | INFOCOM 2018 - IEEE Conference on Computer Communications Workshops | 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. ? 2018 IEEE. |
URI: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85050693942&doi=10.1109%2fINFCOMW.2018.8406898&partnerID=40&md5=184d86fc63f3c0d1670096b10751c841 https://scholars.lib.ntu.edu.tw/handle/123456789/581158 |
DOI: | 10.1109/INFCOMW.2018.8406898 |
顯示於: | 電機工程學系 |
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