TY - GEN
T1 - Privacy-Preserving Content-Based Image Retrieval in the Cloud
AU - Ferreira, Bernardo
AU - Rodrigues, João
AU - Leitão, João
AU - Domingos, Henrique
PY - 2016/1/4
Y1 - 2016/1/4
N2 - Storage requirements for visual data have been increasing in recent years, following the emergence of many new highly interactive multimedia services and applications for both personal and corporate use. This has been a key driving factor for the adoption of cloud-based data outsourcing solutions. However, outsourcing data storage to the Cloud also leads to new challenges that must be carefully addressed, especially regarding privacy. In this paper we propose a secure framework for outsourced privacy-preserving storage and retrieval in large image repositories. Our proposal is based on IES-CBIR, a novel Image Encryption Scheme that displays Content-Based Image Retrieval properties. Our solution enables both encrypted storage and searching using CBIR queries while preserving privacy. We have built a prototype of the proposed framework, formally analyzed and proven its security properties, and experimentally evaluated its performance and precision. Our results show that IES-CBIR is provably secure, allows more efficient operations than existing proposals, both in terms of time and space complexity, and enables more reliable practical application scenarios.
AB - Storage requirements for visual data have been increasing in recent years, following the emergence of many new highly interactive multimedia services and applications for both personal and corporate use. This has been a key driving factor for the adoption of cloud-based data outsourcing solutions. However, outsourcing data storage to the Cloud also leads to new challenges that must be carefully addressed, especially regarding privacy. In this paper we propose a secure framework for outsourced privacy-preserving storage and retrieval in large image repositories. Our proposal is based on IES-CBIR, a novel Image Encryption Scheme that displays Content-Based Image Retrieval properties. Our solution enables both encrypted storage and searching using CBIR queries while preserving privacy. We have built a prototype of the proposed framework, formally analyzed and proven its security properties, and experimentally evaluated its performance and precision. Our results show that IES-CBIR is provably secure, allows more efficient operations than existing proposals, both in terms of time and space complexity, and enables more reliable practical application scenarios.
KW - Cloud computing
KW - Encryption
KW - Image color analysis
KW - Indexes
KW - Outsourcing
UR - http://www.scopus.com/inward/record.url?scp=84960952710&partnerID=8YFLogxK
U2 - 10.1109/SRDS.2015.27
DO - 10.1109/SRDS.2015.27
M3 - Conference contribution
T3 - Symposium on Reliable Distributed Systems Proceedings
SP - 11
EP - 20
BT - Proceedings - 2015 IEEE 34th Symposium on Reliable Distributed Systems Workshops, SRDSW 2015
PB - IEEE Computer Society
T2 - 34th IEEE International Symposium on Reliable Distributed Systems, SRDS 2015
Y2 - 28 September 2015 through 1 October 2015
ER -