Created by W.Langdon from gp-bibliography.bib Revision:1.7954
The main sector of this research is the application of genetic algorithm as a method of data security, it is applied in the field of evolutionary programming in artificial intelligence, as the experimental method is used in the analysis of different types of home pages, these proposed technical HTML tags and its attributes are applied to hide illogical database using the genetic algorithm. This proposed technique considers labels as genes and characteristics as chromosomes. Then the architecture has been detailed and the implementation of the proposed system of hiding information using the software program C sharp and the system has been simulated using different scenarios and a variety of data. The good side of using steganography with a genetic algorithm has been clarified.
Finally, the most important findings in this research is that the combination between the science of genetic algorithm and steganography raising the efficiency of the process of masking data in a web page without changing its parameters, and the encryption algorithm enhances the complexity of illegal attempts of steganography removal. Genetic algorithm has the ability to achieve a significant improvement in data security following the same methodology, this collection can be extended to involve the development of other security systems to get safer and reliable systems of database hiding. The high flexibility of HTML can be applied in many other techniques, other non-public languages can be used in the process of database hiding and exploitation of the Internet protocols, and the development of this method by introducing developmental algorithms to increase the efficiency of data hiding. The development of e-mail data process can also be hidden.",
Supervisor: Mudawi Mukhtar Elmusharaf",
Genetic Programming entries for Fatma Abdalla Mabrouk