Algebraic Attack On Stream Cipher Based On Genetic Algorithms | ||
| Journal of College of Education | ||
| Article 1, Volume 0, Issue 1, October 2017, Pages 321-342 | ||
| Authors | ||
| Salim Ali Abbas Alageelee; Doua Muhsin Abed Ali Al Furajy; Muntaha Abood Jassim | ||
| Abstract | ||
| Pseudonoise sequences generated by linear feedback shift register (LFSRs) with some nonlinear combining functions have been proposed as running key generators in stream ciphers .Genetic algorithm has become a suitable searching or optimization tool for solving many complex problems comparing with the traditional search techniques. Genetic algorithm contains many manipulations to speed up and improve the genetic algorithm performance; these manipulations are selection, crossover and mutation. This paper considers a new approach to cryptanalysis based on the algebraic attack with the application of a directed random search algorithm called a Genetic algorithm. It is shown that such an algorithm can be used to reduce the number of trials which are needed to solve any system of linear and/or nonlinear Boolean equations and determine the initial setting (basic key) of the attacked generator using known plaintext attack, since stream cipher encryption can be expressed by a linear and / or nonlinear system of Boolean equations. Well known system are taken for the case of study:1- Pless system,2- Geffe system, 3- Bruer system, 4- J-k flip-flop, 5- OR system, 6- Multiplying (AND) system, 7- Police systems, and 8- Multiplexing. | ||
| Keywords | ||
| Genetic algorithms; Algebraic attack; Single point Crossover; Linear Feedback Shift Registers; Shrinking Shift Register | ||
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