A Privacy-preserving and Copy-deterrence Content-based Image Retrieval Scheme in Cloud Computing
Priyanka R. More
, Dr. Rahat Khan
Searchable encryption, content-based image retrieval, secure kNN, CBIR,LES-CBIR, copy deterrence, watermark.
With the increasing importance of people's everyday imagery, CBIR has been extensively studied. Compared to text documents, images take up more storage space. Therefore, maintenance is a typical example of cloud storage. For privacy purposes, sensitive images, such as medical images and personal images, must be encrypted prior to outsourcing, which prevents CBIR technology in plain text domains. We have studied the process that supports CBIR over encrypted images without deluting sensitive information to the cloud server. First, the feature vector is separated to display the matching image. Subsequently the process contains, a pre-filter table that is created by a resident combination to optimize the search. In addition, the feature vector is protected by a safe kNN algorithm and the image pixels are encoded by standard stream numbers. In addition, if unauthorized users may illegally copy and distribute illegal imagery to unauthorized individuals, we have studied the protocol that uses watermarks to inhibit such illegal distribution. In protocols that use watermarks, unique watermarks are embedded directly into the images encrypted by the cloud server before the images are sent to the user. Query, therefore, when the image is copied, copies the user's unlawful image. Can be checked by extracting the watermark. Safety analysis and experiment show the safety and effectiveness of the proposed project.
"A Privacy-preserving and Copy-deterrence Content-based Image Retrieval Scheme in Cloud Computing", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.3, Issue 11, page no.179 - 185, December-2018, Available :https://ijsdr.org/papers/IJSDR1812031.pdf
Volume 3
Issue 11,
December-2018
Pages : 179 - 185
Paper Reg. ID: IJSDR_180871
Published Paper Id: IJSDR1812031
Downloads: 000347159
Research Area: Engineering
Country: -, -, -
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave
