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Nada, Yasser A.
- How Good is the DES Algorithm in Image Ciphering?
Authors
1 Computer Science Dep., College of Computers & Information Technology, Taif University, SA
2 Computer Science Dep. College of Computers & Information Technology, Taif University, SA
3 Department of Mathematics & Computer Science, Menoufia University, EG
Source
International Journal of Advanced Networking and Applications, Vol 2, No 5 (2011), Pagination: 796-803Abstract
Digital Images and video encryption plays an important role in today’s multimedia world. Many encryption schemes have been proposed to provide security for digital images. Usually the symmetric key ciphering algorithms are used in encrypting digital images because it is fast and use the techniques for block and stream ciphers. Data Encryption Standard is symmetric key encryption algorithm. In spite of the successful cracking of the data encryption standard by massive brute force attacks, data encryption standard algorithm is an entrenched technology and still useful for many purposes. In this paper, we use some of the image quality encryption measuring factors to study the effect of data encryption standard algorithm in image ciphering. The results show that the data encryption standard algorithm is fast and it achieves a good encryption rate for image ciphering using different modes of operation.Keywords
Image Encryption, Key Ciphering Algorithms, DES.- XML Solving Problem of Expert System
Authors
1 Department of Computer Science, Taif University, SA
Source
International Journal of Advanced Networking and Applications, Vol 2, No 4 (2011), Pagination: 723-731Abstract
The Extensible Markup Language (XML) is a subset of SGML that is completely described in this paper. Its goal is to enable generic SGML to be served, received, and processed on the Web in the way that is now possible with HTML. XML has been designed for ease of implementation and for interoperability with both SGML and HTML.
An expert system is a computer program designed to simulate the problem-solving behavior of a human who is an expert in a narrow domain or discipline. Expert Systems (ES), also called Knowledge Based System (KBS), are computer application programs that take the knowledge of one or more human experts in a field and computerize it so that it is readily available for use.
The main objective of this paper was to investigate the usage of different refinement methodologies for different layers of knowledge base modeling and investigate the possibility of building an expert system development and refinement tool. In our work we used XML as a knowledge representation to represent the knowledge base. Therefore we used the mathematical model to refinement of a knowledge base.