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Automated Design of Stream Ciphers Using GADS

Automated Design of Stream Ciphers Using GADS
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Author(s): Wasan Awad (Ahlia University, Bahrain) and Amal M. Al Hiddi (University of Bahrain, Bahrain)
Copyright: 2016
Pages: 28
Source title: Improving Information Security Practices through Computational Intelligence
Source Author(s)/Editor(s): Wasan Awad (Ahlia University, Bahrain), El Sayed M. El-Alfy (King Fahd University of Petroleum and Minerals, Saudi Arabia) and Yousif Al-Bastaki (University of Bahrain, Bahrain)
DOI: 10.4018/978-1-4666-9426-2.ch003


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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.

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