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Dynamic visual cryptography with Arnold’s logarithm using ANN for medical data protection


Article Information

Title: Dynamic visual cryptography with Arnold’s logarithm using ANN for medical data protection

Authors: J. Joel Pavithran, T. Vino

Journal: ARPN Journal of Engineering and Applied Sciences

HEC Recognition History
Category From To
Y 2023-07-01 2024-09-30
Y 2022-07-01 2023-06-30
Y 2021-07-01 2022-06-30
X 2020-07-01 2021-06-30

Publisher: Khyber Medical College, Peshawar

Country: Pakistan

Year: 2016

Volume: 11

Issue: 11

Language: English

Categories

Abstract

Cryptography is the intelligence of varying information into distinct unintelligibility in a way allowing a secret method of un-masculine. The fundamental idea of cryptography is the capability to send information between a party to in a way that prevents others from reading it. Artificial neural networks (ANNs) have been tested to solve many issues. The ANNs have many specialties such as secure, principle, less data specification, fast data processing, ease of performance. A Neural Network is a appliance that is perform to model the way in which the brain performs a work or function of entrust. It has the ability to implement complex ciphering with ease. Visual cryptography finds many functions in cryptographic plot such as key management, message privacy, authorization, verification, identification, and distraction. To implement encrypting, the input to the NN is a fixed of gray like images, and the output is a set of binary images (shares) that fulfills the adorable design. This approach is very much different from the traditional one, and can be enforced to confront with very complex access schemes. Visual cryptography is a secret allocating scheme which uses images allocated as interest such that, when the shares are overlap, a secret image is revealed. In visual cryptography, the share images are constructed to consist of meaningful cover images, thereby keep opportunities for combine visual cryptography and biometric security techniques. In this project we propose neural network based cryptography. First of all we create the neural network based key. This key value is used to calculate the weight for each pixel. This weight is multiplied to the image pixel to form cryptography. Then perform Arnold transform and Random Generator for encryption purpose. Reverse process of encryption original image is retrieved.


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