Lalit Mohan Gupta

Work place: Vivekananda College of Technolgy & Management, Aligarh, India

E-mail: lalitmguptaamu@gmail.com

Website:

Research Interests: Computer Architecture and Organization, Image Processing, Data Structures and Algorithms

Biography

Mr. Lalit Mohan Gupta is pursuing PhD. in Computer Science from A.K.T.U, LUCKNOW. He did his M.tech in Software Engineering from Aligarh Muslim University. He is presently working as HOD in Department of Computer Science & Engineering in Vivekananda College of Technology & Management, Aligarh. He has total experience of more than 10 years in the field of academics / administrations. The main research area of Mr. Gupta is Image processing and Security. He has published many research paper in national / international journals / conference of repute.

Author Articles
An improved DNA Based Security Model using Reduced Cipher Text Technique

By Lalit Mohan Gupta Hitendra Garg Abdus Samad

DOI: https://doi.org/10.5815/ijcnis.2019.07.03, Pub. Date: 8 Jul. 2019

An essential parameter of information security during data transmission is a secure cryptographic system. In this paper a new cryptographic security technique is proposed to secure data from un-authorized access. The proposed system incorporate cryptology technique of encryption inherits the concept of DNA based encryption using a 128-bit key. Besides this key, round key selection technique, random series of DNA based coding and modified DNA based coding are followed by unique method of substitutions. The proposed technique increases size of the cipher text by 33% as compared to conventional DNA and non DNA based algorithms where size of the cipher text becomes almost double of the original file. This reduction in cipher text improves memory utilization along with data security.
The paper is organized in six Sections. Section 1, gives the introduction and also briefly describes related work. In Section 2, the proposed model for solving the problem is described. Various steps involved during encryption and decryption are explained in Section 3, and the results obtained by implementing the proposed algorithm are presented and discussed in Section 4. The Section 5 concludes the work and brief outline of the future work is given in Section 6.

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