IMAGE ENCRYPTION USING HILBERT SPACE FILLING CURVE AND HENON MAP
Journal Title: International Journal of Innovative Research in Computer Science and Technology - Year 2015, Vol 3, Issue 3
Abstract
A proficient but a simple selective image encryption method is suggested based on Hilbert space filling curve, Region of interest, non-linear chaotic map. The main essence of the suggested scheme is to change the pixel positions of an image via Hilbert space filling curve in a way that it cannot be accessed by unauthorized persons followed by choosing significant region via Region of interest method. Next diffusion process is carried out on the selected significant region by a secret image key procured from nonlinear chaotic map. At last, a suitable decryption method is suggested to form original image from the encrypted image. Analysis and experimental results indicates that the suggested method can succeed many goal of selective encryption and is reckoning safe.
Authors and Affiliations
Kavya. K. S, Mrs. Prabavathi
Keywords
Related Articles
- EP ID EP748796
- DOI -
- Views 33
- Downloads 0
Measuring Maintainability of Object Oriented Design (MMOOD)
Measuring maintainability early in the software development life cycle mainly at design phase is a landmark of crucial significance to software designers, developers and quality controllers. Initial Measurement of object...
Software Bug Reports: Automatic Keyword and Sentence-Based Text Summarization Using Artificial Intelligence
The purpose of text summarization is to quickly and accurately extract the most important data from papers. The proposed unsupervised method seeks to synthesise complete and informative bug reports (software artefacts)....
An Examination the Use of Sugarcane Bagasse Ash as Cement Partial Substitutes in Concrete
The strength and shrinkage of concrete that is combined with sugarcane bagasse ash particles are influenced by the size of the particles, as analyzed in this research article. A higher amount of water is required when ut...
Feature Extraction Technique for Human Face Recognition – A Hybrid Approach
This paper presents a new feature extraction technique for recognizing human faces. The proposed method uses hybrid feature extraction techniques such as Principal Component Analysis and Gabor Wavelet are combined togeth...
Privacy-Preserving Services for Social Networks: A Review Paper
The popular and frequently used Online Social Networks (OSNs) all have a conceptually centralized design, in which a single organization holds unprecedented amounts of personal information in terms of amount, variety, ge...