Automated Design of Stream Ciphers Using GADS

Author:

Awad Wasan1,Al Hiddi Amal M.2

Affiliation:

1. Ahlia University, Bahrain

2. University of Bahrain, Bahrain

Abstract

The main objective of this chapter is to propose a new effective algorithm to design stream cipher systems automatically using simulated annealing algorithm and genetic programming with a different method for representing the genetic programming population individuals. Usually the individual programs represented as LISP expressions; in the proposed method the programs are represented as strings of integers representing the individual program syntactic rule numbers. Genetic programming with this representation method is called genetic algorithm for developing software (GADS). The performance of the proposed algorithm will be studied by applying different genetic methods and parameters. Furthermore, it will be compared with other representation methods such as LISP expression.

Publisher

IGI Global

Reference46 articles.

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4. Awad, W. S. (2011b). Designing stream cipher systems using genetic programming. In Learning and optimization (LION5) (LNCS), (vol. 6683, pp. 308-320). Berlin: Springer.

5. Awad, W. S. (2013). The effect of mutation operation on GP- based stream ciphers design algorithm. In Proceedings of5th International Conference on Agents and Artificial Intelligence. Academic Press.

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