Using Genetic Algorithm for Symmetric key Generation in Image Encryption
Journal Title: International Journal of Advanced Research in Computer Engineering & Technology(IJARCET) - Year 2012, Vol 1, Issue 10
Abstract
Cryptography is essential for protecting information as the importance of security is increasing day by day with the advent of online transaction processing and e commerce. In now a day the security of digital images attracts much attention, especially when these digital images are stored in memory or send through the communication networks. Genetic algorithms are a class of optimization algorithms. Many problems can be solved using genetic algorithms through modelling a simplified version of genetic processes. In this paper, I proposed a method based on Genetic Algorithm which is used to generate key by the help of pseudo random number generator. Random number will be generated on the basis of current time of the system. Using Genetic Algorithm we can keep the strength of the key to be good, still make the whole algorithm good enough. Symmetric key algorithm AES has been proposed for encrypting the image as it is very secure method for symmetric key encryption.
Authors and Affiliations
Aarti Soni. , Suyash Agrawal
Keywords
Related Articles
- EP ID EP115250
- DOI -
- Views 73
- Downloads 0
Audio-based Classification of Video Genre Using Multivariate Adaptive Regression Splines
A large number of researchers are attracted by video genre classification, video contents retrieval and semantics research in video processing and analysis domain. Many researchers try to propose structure or framewor...
A SIP Based Authentication Scheme for RFID Systems
In today’s world of technology the biggest challenge for RFID technology is to provide benefits without threatening the privacy of consumers and providing secure authentication for RFID tags. Previously many soluti...
Image segmentation based on kernel fuzzy C means clustering using edge detection method on noisy images
Classical fuzzy C-means (FCM) clustering is performed in the input space, given the desired number of clusters. Although it has proven effective for spherical data, it fails when the data structure of input pattern...
Recognition and Classification of Broken Characters using Feed Forward Neural Network to Enhance an OCR Solution
The major problem faced by an Optical Character Recognizer (OCR) can be attributed to the presence of a large number of broken characters in a digital document image. Recognition of such documents accurately, that...
Routing Issues for Trust Based Framework in Mobile Ad Hoc Networks
The execution and survival of ad hoc networks depends on cooperative and trusting nature of the distributed nodes. There is a common assumption in the routing protocols that all nodes are trustworthy and cooperative....