Indian Journal of Science and Technology

The PDF file you selected should load here if your Web browser has a PDF reader plug-in installed (for example, a recent version of Adobe Acrobat Reader).

If you would like more information about how to print, save, and work with PDFs, Highwire Press provides a helpful Frequently Asked Questions about PDFs.

Alternatively, you can download the PDF file directly to your computer, from where it can be opened using a PDF reader. To download the PDF, click the Download link above.

Fullscreen Fullscreen Off


Objectives: The implementation of Genetic algorithm in the symmetric block cipher Advanced Encryption Standard -128 (AES-128) algorithms to enhance the performance of cryptographic operations. Methods: Genetic algorithm is used for generating the best fit non-repetitive cipher key and for key distribution to design a dynamic Substitution box in AES-128. Findings: The study reveals that the efficiency of the cryptographic algorithm treated with Genetic algorithm is dependent on the variations in the number of generations and initial population size. The result shows that an optimum population size has less encryption and decryption time. Among the sample population size taken for the experiment, almost the average population size has minimum encryption and decryption time. Results from iteration variations shows that the average number of iterations has less encryption and decryption time. Improvements: The hybrid combination of Genetic algorithm and AES-128 can be further modified for images and audio messages also.

Keywords

Genetic Algorithm, Iterations, Non-Repetitive Cipher Key, Population Size, Substitution Box.
User