Work place: LDDI Laboratory, Computer Science Department, University of Adrar, Adrar 01000, Algeria
E-mail: omari@univ-adrar.org
Website:
Research Interests: Neural Networks, Image Compression, Image Manipulation, Computer Networks, Information Security, Network Security, Image Processing
Biography
Dr. Mohammed Omari received his B.E degree from the University of Es-Senia Oran (Algeria) in 1995 and the M.S. degree from New Mexico Tech (New Mexico, USA) in 2002, as well as the Ph.D. degree in 2005. His major is in computer science. He is currently an associate professor at the computer science department, and a unit chair at the LDDI laboratory, University of Adrar, Algeria. His research interests include network security, cryptography, sensors and ad hoc networks protocols, image processing, neural networks, and genetic algorithms.
By Mohammed Omari Hamdy S. Soliman
DOI: https://doi.org/10.5815/ijcnis.2013.01.01, Pub. Date: 8 Jan. 2013
This paper introduces a permutation generation mechanism based on a shared secret key. The generated permutation vectors are used as encryption keys in a stream ciphering cryptosystem. We investigated various types of attacks on the known stream cipher RC4 and patched most of its loopholes, especially biased-byte and state-related attacks. Unique to our approach, we prove mathematically that the complexity of brute-forcing such a system is (2n), where n is the key size in bytes. This paper also presents a complete security model using permutation-based encryption, in order to handle privacy. In addition, our approach achieved higher performance than that of existing peer techniques, while maintaining solid security. Experimental results show that our system is much faster than the existing security mechanisms, such as AES and DES.
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