A Privacy-Preserving Content-Based Image Retrieval Method IN CLOUD IMAGE REPOSITORIES. DE
-
- Englisch ausgewählt
Fr. 61.90
inkl. gesetzl. MwSt.,
Beschreibung
Produktdetails
Einband
Taschenbuch
Erscheinungsdatum
07.01.2025
Verlag
LAP LAMBERT Academic PublishingSeitenzahl
52
Maße (L/B/H)
22/15/0.4 cm
Gewicht
96 g
Sprache
Englisch
ISBN
978-620-8-42194-6
Now days, Cloud computing it is been playing a crucial role in terms of data storing and reducing the overall cost to entrepreneurs. Storage requirements for visual data have increased in recent years, following the appearance of many interactive multimedia services and applications for mobile devices in personal and business scenarios. This was a key a determining factor for the adoption of cloud-based data outsourcing solutions. However, even the outsourcing of data storage in the cloud leads to new security challenges that must be carefully addressed. We propose a secure framework for the storage and recovery of the subcontracted privacy protection in large archives of shared images. Our proposal is based on IES-CBIR, a novel Encryption scheme of the image that presents image recovery properties based on content. The framework allows both encrypted storage and search using content-based image retrieval queries while preserving privacy against honest but curious cloud administrators. We have built a prototype of the proposed framework, formally analyzed and tested its safety properties, and experimentally assessed its performance and accuracy of recovery.
Noch keine Bewertungen vorhanden
Verfassen Sie die erste Bewertung zu diesem Artikel
Helfen Sie anderen Kundinnen und Kunden durch Ihre Meinung.