TY - GEN
T1 - VCBIR
T2 - 36th IEEE International Conference on Data Engineering, ICDE 2020
AU - Guo, Shangwei
AU - Ji, Yang
AU - Zhang, Ce
AU - Xu, Cheng
AU - Xu, Jianliang
N1 - Funding Information:
ACKNOWLEDGMENTS This work is supported by HK-RGC under grants 12200819, 12201018, C6030-18GF, and C1008-16G.
PY - 2020/4
Y1 - 2020/4
N2 - We demonstrate vCBIR, a verifiable search engine for Content-Based Image Retrieval. vCBIR allows a small or medium-sized enterprise to outsource its image database to a cloud-based service provider and ensures the integrity of query processing. Like other common data-as-a-service (DaaS) systems, vCBIR consists of three parties: (i) the image owner who outsources its database, (ii) the service provider who executes the authenticated query processing, and (iii) the client who issues search queries. By employing a novel query authentication scheme proposed in our prior work [4], the system not only supports cloud-based image retrieval, but also generates a cryptographic proof for each query, by which the client could verify the integrity of query results. During the demonstration, we will showcase the usage of vCBIR and also provide attendees interactive experience of verifying query results against an untrustworthy service provider through graphical user interface (GUI).
AB - We demonstrate vCBIR, a verifiable search engine for Content-Based Image Retrieval. vCBIR allows a small or medium-sized enterprise to outsource its image database to a cloud-based service provider and ensures the integrity of query processing. Like other common data-as-a-service (DaaS) systems, vCBIR consists of three parties: (i) the image owner who outsources its database, (ii) the service provider who executes the authenticated query processing, and (iii) the client who issues search queries. By employing a novel query authentication scheme proposed in our prior work [4], the system not only supports cloud-based image retrieval, but also generates a cryptographic proof for each query, by which the client could verify the integrity of query results. During the demonstration, we will showcase the usage of vCBIR and also provide attendees interactive experience of verifying query results against an untrustworthy service provider through graphical user interface (GUI).
UR - http://www.scopus.com/inward/record.url?scp=85085860383&partnerID=8YFLogxK
U2 - 10.1109/ICDE48307.2020.00156
DO - 10.1109/ICDE48307.2020.00156
M3 - Conference contribution
AN - SCOPUS:85085860383
T3 - Proceedings - International Conference on Data Engineering
SP - 1730
EP - 1733
BT - Proceedings - 2020 IEEE 36th International Conference on Data Engineering, ICDE 2020
PB - IEEE Computer Society
Y2 - 20 April 2020 through 24 April 2020
ER -