A Novel Ammonic Conversion Algorithm for Securing Data in DNA using Parabolic Encryption
Shipra Jain and
Vishal Bhatnagar
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Shipra Jain: Ambedkar Institute of Advance Communication Technologies & Research, New Delhi, India
Vishal Bhatnagar: Department of Computer Science and Engineering, Ambedkar Institute of Advance Communication Technologies & Research, New Delhi, India
Information Resources Management Journal (IRMJ), 2015, vol. 28, issue 2, 20-31
Abstract:
In today's era, the traditional cryptographic methods are not sufficient to provide security to the data. Everyone wants to secure their data whether the data is bank transaction, email transaction, personal data or the data related to work. To provide security to the data, DNA cryptography emerges as a new field. DNA cryptography is a new branch of cryptography. It provides security to the data by converting the data in the form of DNA sequence. A lot of research has been done in the area of this cryptography. It consists of various stages like converting data in the form of DNA, reverse conversion, various methods of encryption etc. Various methods of encryption are present until now in the DNA cryptography. But the problem with them is that they all have more emphasis on biological encryption methods. There is a need of methods which make use of simple biological methods and complex binary or other number system encryption. In this paper, the authors are proposing a new algorithm for providing security to the data at two levels. The authors propose a parabolic transposition in a circular arrangement of data. In the proposed algorithm, data is arranged in a circular way. The number of rows and columns acts as a key for binary encryption. For encrypting the DNA sequence, the authors convert the DNA sequence into amino acid. This amino acid sequence will act as a cipher text and send to the receiver through the open environment. The proposed algorithm is a type of block cipher. It is a transposition cipher. It changes the position of data for binary encryption.
Date: 2015
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Persistent link: https://EconPapers.repec.org/RePEc:igg:rmj000:v:28:y:2015:i:2:p:20-31
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