FSeCBIR: A Faster Secure Content-Based Image Retrieval for Cloud

• Published in: Software impacts Vol. 11; p. 100224
• Main Authors: J., Anju, R., Shreelekshmi
• Format: Journal Article
• Language: English
• 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
• ISSN: 2665-9638; 2665-9638
• DOI: 10.1016/j.simpa.2022.100224

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.