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Soft Computing
Erschienen in: Soft Computing 6/2019

20.11.2017 | Methodologies and Application

Towards efficient privacy-preserving encrypted image search in cloud computing

verfasst von: Yuan Wang, Meixia Miao, Jian Shen, Jianfeng Wang

Erschienen in: Soft Computing | Ausgabe 6/2019

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Abstract

With the rapid development of cloud computing and big data, it is an ever-increasing trend to outsource the huge amount of multimedia data to the cloud. Although data outsourcing can alleviate data maintenance cost of user side, it inevitably brings some new security challenges, of which privacy of image content is the most significant one. Thus, privacy-preserving image search becomes a new research interest in academic community. In this paper, we propose a novel efficient search scheme for encrypted image by incorporating K-means and secure modular hashing, which can simultaneously achieve privacy-preserving of image search and comparable search accuracy to plaintext image. Furthermore, we provide comprehensively security analysis on the proposed solution and detailed efficiency evaluation over some real-world datasets. The results show that our solution can achieve desired security goals while providing a comparable search efficiency and accuracy.
Vorheriger Artikel Gravitational search algorithm and K-means for simultaneous feature selection and data clustering: a multi-objective approach
Nächster Artikel Complete image fusion method based on fuzzy transforms

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Metadaten
Titel
Towards efficient privacy-preserving encrypted image search in cloud computing
verfasst von
Yuan Wang
Meixia Miao
Jian Shen
Jianfeng Wang
Publikationsdatum
20.11.2017
Verlag
Springer Berlin Heidelberg
Erschienen in
Soft Computing / Ausgabe 6/2019
Print ISSN: 1432-7643
Elektronische ISSN: 1433-7479
DOI
https://doi.org/10.1007/s00500-017-2927-6

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