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Generating the Best Fit Key in Cryptography using Genetic Algorithm
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 98 - Number 20 |
| Year of Publication: 2014 |
| Authors: Sania Jawaid, Adeeba Jamal |
10.5120/17301-7767
|
Sania Jawaid, Adeeba Jamal . Generating the Best Fit Key in Cryptography using Genetic Algorithm. International Journal of Computer Applications. 98, 20 ( July 2014), 33-39. DOI=10.5120/17301-7767
Abstract
The goal of network security is to provide a secure, effective and private communication between the sender and the receiver. In order to achieve a high level of security, data is sent in the encrypted form to its intended recipient. But, tampering with the text and eavesdropping have assumed colossal proportions. This is generally done by decoding the key. Therefore, to make the key strong and almost unpredictable, a method based on the theory of natural selection has been proposed in the paper. This method finds the best fit element in the environment. as the paper uses Genetic Algorithm to accomplish the above task. The paper not only illustrates this innovative method of key generation but also demonstrates its implementation. To achieve even more high standards of security Data Encryption Standard cipher program has been used for verification and validation.
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