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Trends in Applied Sciences Research
  Year: 2012 | Volume: 7 | Issue: 1 | Page No.: 68-77
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Two-layer Cellular Automata Based Cryptography

Alireza Jaberi, Ramin Ayanzadeh and Azam S. Zavar Mousavi

Cryptography is knowledge of manipulating data to conceal secure information. It serves an essential functionality in wide variety of applications. So, several encoding and decoding methods have been proposed to enhance cryptography techniques. In this study a novel approach based on multi layer cellular automata is proposed to be used in cryptography applications. Proposed multi layers cellular automata employs interaction between two heterogeneous cellular automata to imitate Pseudo-Neumann neighborhood structure and generate trackable random integers. These random numbers are assumed as time variant keys for encoding and decoding purposes. To verify and validate performance of proposed architecture, several simulations are performed. Simulation results prove that two-layer cellular automata generate more uniform random numbers in comparison with MATLAB. Consequently, proposed architecture demonstrated desirable behavior and has less risk. Furthermore, the architecture is suitable for hardware implementations.
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  •    Central Limit Theorem based Cellular Automata for Generating Normal Random Numbers
  •    Dynamic Parameters Optimization for Enhancing Performance and Stability of PSO
  •    Discrete Time Dynamic Neural Networks for Predicting Chaotic Time Series
  •    Suitability of Using Symmetric Key to Secure Multimedia Data: An Overview
  •    Symmetric Crypto-Graphical Model
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  •    A Secured Fingerprint Authentication System
How to cite this article:

Alireza Jaberi, Ramin Ayanzadeh and Azam S. Zavar Mousavi, 2012. Two-layer Cellular Automata Based Cryptography. Trends in Applied Sciences Research, 7: 68-77.




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