DocumentCode :
134565
Title :
Genetic Hash Algorithm
Author :
Eddeen, Lubna M. H. Nasir ; Saleh, Eman M. ; Saadah, Doa´a
Author_Institution :
Dept. of Comput. Sci., Univ. of Jordan, Amman, Jordan
fYear :
2014
fDate :
26-27 March 2014
Firstpage :
23
Lastpage :
26
Abstract :
Security is becoming a major concern in computing. New techniques are evolving every day; one of these techniques is Hash Visualization. Hash Visualization uses complex random generated images for security, these images can be used to hide data (watermarking). This proposed new technique improves hash visualization by using genetic algorithms. Genetic algorithms are a search optimization technique that is based on the evolution of living creatures. The proposed technique uses genetic algorithms to improve hash visualization. The used genetic algorithm was away faster than traditional previous ones, and it improved hash visualization by evolving the tree that was used to generate the images, in order to obtain a better and larger tree that will generate images with higher security. The security was satisfied by calculating the fitness value for each chromosome based on a specifically designed algorithm.
Keywords :
cryptography; data encapsulation; genetic algorithms; image watermarking; trees (mathematics); complex random generated images; data hiding; genetic hash algorithm; hash visualization; search optimization technique; watermarking; Authentication; Biological cells; Data visualization; Genetic algorithms; Genetics; Visualization; Chromosome; Fitness value; Genetic Algorithms; Hash Visualization; Hash functions; Security;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science and Information Technology (CSIT), 2014 6th International Conference on
Conference_Location :
Amman
Print_ISBN :
978-1-4799-3998-5
Type :
conf
DOI :
10.1109/CSIT.2014.6805974
Filename :
6805974
Link To Document :
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