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 inSoftware impacts Vol. 11; p. 100224
Main Authors J., Anju, R., Shreelekshmi
Format Journal Article
LanguageEnglish
Published Elsevier B.V 01.02.2022
Subjects
Clustering
Copy-deterrence
Encrypted image database
Indexing
Secure content-based image retrieval
Encrypted image database
Secure content-based image retrieval
Clustering
Copy-deterrence
Indexing
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Abstract 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.
AbstractList 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.
ArticleNumber 100224
Author J., Anju
R., Shreelekshmi
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Cites_doi 10.1016/j.future.2018.04.089
10.1109/TIFS.2016.2590944
10.1109/TCC.2015.2491933
10.1109/ACCESS.2019.2894673
10.1109/76.927424
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Keywords Encrypted image database
Secure content-based image retrieval
Clustering
Copy-deterrence
Indexing
Language English
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Snippet In recent years, content-based image retrieval in encrypted domain has emerged as an important challenge in cloud environment. We present FSeCBIR, a prototype...
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StartPage 100224
SubjectTerms Clustering
Copy-deterrence
Encrypted image database
Indexing
Secure content-based image retrieval
Title FSeCBIR: A Faster Secure Content-Based Image Retrieval for Cloud
URI https://dx.doi.org/10.1016/j.simpa.2022.100224
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