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 |
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Elsevier B.V
01.02.2022
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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. |
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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 |
Author_xml | – sequence: 1 givenname: Anju orcidid: 0000-0002-0366-7164 surname: J. fullname: J., Anju email: anjuj@cet.ac.in organization: Department of Computer Science and Engineering, College of Engineering Trivandrum, Thiruvananthapuram, Kerala, 695016, India – sequence: 2 givenname: Shreelekshmi surname: R. fullname: R., Shreelekshmi email: shreelekshmir@gecbh.ac.in organization: Department of Information Technology, Government Engineering College Barton Hill, Thiruvananthapuram, Kerala, 695035, India |
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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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References | Anju, Shreelekshmi (b8) 2020 Xia, Wang, Zhang, Qin, Sun, Ren (b11) 2016; 11 Wong, Cheung, Kao, Mamoulis (b2) 2009 Qin, Li, Xiang, Tan, Pan, Ma, Xiong (b9) 2019; 7 Majhi, Pal, Islam, Khurram Khan (b5) 2021; 32 Manjunath, Ohm, Vasudevan, Yamada (b3) 2001; 11 Anju, Shreelekshmi (b4) 2022; 189 Wang (b12) 2019 Peter Mell (b1) 2011 Gu, Xia, Sun, Weng (b6) 2020 Shen, Cheng, Zhu, Du, Hu (b7) 2020; 109 Xia, Zhu, Sun, Qin, Ren (b10) 2018; 6 University (b13) 2019 Qin (10.1016/j.simpa.2022.100224_b9) 2019; 7 Gu (10.1016/j.simpa.2022.100224_b6) 2020 Xia (10.1016/j.simpa.2022.100224_b10) 2018; 6 University (10.1016/j.simpa.2022.100224_b13) 2019 Xia (10.1016/j.simpa.2022.100224_b11) 2016; 11 Anju (10.1016/j.simpa.2022.100224_b8) 2020 Peter Mell (10.1016/j.simpa.2022.100224_b1) 2011 Anju (10.1016/j.simpa.2022.100224_b4) 2022; 189 Majhi (10.1016/j.simpa.2022.100224_b5) 2021; 32 Wang (10.1016/j.simpa.2022.100224_b12) 2019 Manjunath (10.1016/j.simpa.2022.100224_b3) 2001; 11 Shen (10.1016/j.simpa.2022.100224_b7) 2020; 109 Wong (10.1016/j.simpa.2022.100224_b2) 2009 |
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Video Technol. doi: 10.1109/76.927424 contributor: fullname: Manjunath |
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SubjectTerms | Clustering Copy-deterrence Encrypted image database Indexing Secure content-based image retrieval |
Title | FSeCBIR: A Faster Secure Content-Based Image Retrieval for Cloud |
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