Enhance the performance of Chaotic Generator in the Filed of Cryptography: A Secret Key Generation  Approach

Enhance the performance of Chaotic Generator in the Filed of Cryptography: A Secret Key Generation Approach

Sona Mishra

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Asst. Prof. Amit Mishra

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Rajiv Gandhi Technical University

Enhance the performance of Chaotic Generator in the Filed of Cryptography: A Secret Key Generation Approach

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Abstract

The main focus of this research paper is to propose and improvement of the data security using encryption and decryption method in ANN based chaotic generator of original value. The Binary value sequence of ASCII CODE is converted with two initial parameter, and converted value is again decrypted with same initial parameter. In which consists of Binary value of ASCII Code, chaotic neural network algorithm was used for encryption and decryption and it generates the chaotic sequence of random value for each A to Z letter. The generated random value is the encrypted binary ASCII values of A to Z sequence of original ASCII Code binary value, with same initial parameter. For simulation MATLAB software is used. This paper also includes improved experimental results and complete demonstration that ANN Based Chaotic Generator is successfully perform the cryptography.

References

9 Cites in Article

Reference Format

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Sona Mishra. 2015. \u201cEnhance the performance of Chaotic Generator in the Filed of Cryptography: A Secret Key Generation Approach\u201d. Global Journal of Computer Science and Technology - D: Neural & AI GJCST-D Volume 15 (GJCST Volume 15 Issue D1).

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GJCST Volume 15 Issue D1

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

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Classification

GJCST-D Classification D.4.6

Submission ReceivedDecember 15, 2014
Peer Review Double Blind
Handling Editor
Accepted January 2, 2015
Published January 15, 2015

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v1.2

Issue date

November 4, 2015

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Article Matrices

Total Score: 102

Country: India

Subject: Global Journal of Computer Science and Technology - D: Neural & AI

Authors: Sona Mishra, Asst. Prof. Amit Mishra (PhD/Dr. count: 0)

View Count (all-time): 268

Total Views (Real + Logic): 8068

Total Downloads (simulated): 1986

Publish Date: 2015 11, Wed

Monthly Totals (Real + Logic):

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Total Views: 8068

Total Downloads: 1986

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