- author = "Lubna M. H {Nasir Eddeen} and Eman M. Saleh and Doa'a Saadah",
- title = "Genetic Hash Algorithm",
- booktitle = "6th International Conference on CSIT",
- year = "2014",
- editor = "Nael Hirzallah",
- pages = "23--26",
- address = "Amman, Jordan",
- month = "26-27 " # mar,
- publisher = "IEEE",
- keywords = "genetic algorithms, genetic programming, GHA, 2D image, Fourier Transformation (FTT), Security, Hash functions, Hash Visualization, Chromosome, Fitness value",
- isbn13 = "987-1-4799-3999-2",
-
DOI = "
doi:10.1109/CSIT.2014.6805974",
- size = "4 pages",
- 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.",
-
notes = "p23 'Hash visualization is a technique that is used to
generate random images. The images are generated using
a tree. The nodes of the tree are randomly assigned
mathematical operations and the leaves are assigned
random values. The tree is evaluated and the resulting
value is assigned to a pixel.'
p24 'An image is generated from each chromosome (tree)'
University of Jordan Department of Computer Science Amman, Jordan",
