INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15
Users of Internet daily send and receive many images through social media. These images are vulnerable to hack and tamper by attackers. Therefore, it is necessary to develop methods for the security of these images. In this thesis work, a non-traditional encryption method for encrypting images is presented that makes images more and more protected and secured. These operations are implemented depending on extracted chains from the secret key used in the algorithm. Here we proposed an algorithm which takes the improvement of the ILM algorithm that aims to develop the unpredictability of the image pixels. Due to an enlarged randomness, the information entropy is considerably enhanced, powerfully resisting a vibrant range of arithmetic and differential attacks. Also DNA operation applies over the chaotic map algorithm substantially increased the effectiveness of the crypto system; Apart from this, the image encryption approach is rapid due to synchronous permutation and diffusion process that performed both these operation in a single iteration. To establish the efficiency of the proposed algorithm, we also performed a differential investigation to calculate NPCR and UACR and statistical for discriminating the histogram, entropy analysis, contrast analysis and CC analysis. Furthermore, Other DNA operations like DNA XOR, Addition, and Subtraction are used with (GA) genetic algorithm for better performance. Results are evaluated on MATLAB.
"Optimization Based DNA for Image Encryption", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.5, Issue 9, page no.523 - 530, September-2020, Available :http://www.ijsdr.org/papers/IJSDR2009088.pdf
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Publication Details:
Published Paper ID: IJSDR2009088
Registration ID:192538
Published In: Volume 5 Issue 9, September-2020
DOI (Digital Object Identifier):
Page No: 523 - 530
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631
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