FSeCBIR: A Faster Secure Content-Based Image Retrieval for Cloud
In recent years, content-based image retrieval in encrypted domain has emerged as an important challenge in cloud environment. We present FSeCBIR, a prototype that implements Faster and Secure Content-Based Image Retrieval ensuring secure search and retrieval in large encrypted image databases. This...
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Published in | Software impacts Vol. 11; p. 100224 |
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Main Authors | , |
Format | Journal Article |
Language | English |
Published |
Elsevier B.V
01.02.2022
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Subjects | |
Online Access | Get full text |
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Summary: | In recent years, content-based image retrieval in encrypted domain has emerged as an important challenge in cloud environment. We present FSeCBIR, a prototype that implements Faster and Secure Content-Based Image Retrieval ensuring secure search and retrieval in large encrypted image databases. This prototype is implemented using MATLAB on a server/high-end PC and it incorporates a copy deterrence module to identify data leaks through untrustworthy query users. This simulates a system that can be used in real-time cloud applications involving sensitive information which demand high level of security, retrieval precision, and less time/space complexity.
•FSeCBIR simulates Faster and Secure Content-Based Image Retrieval in encrypted domain.•It realizes the scheme which ensures high scalability and retrieval performance.•Copy deterrence scheme included ensures better image quality and resistance to attack.•FSeCBIR suits critical real-time applications involving sensitive information.•FSeCBIR provides a baseline for comparing future research in the area. |
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ISSN: | 2665-9638 2665-9638 |
DOI: | 10.1016/j.simpa.2022.100224 |