Optimization Based DNA for Image Encryption
Image retrieval, machine learning, image extraction, Histogram intersection, CBIRS technique
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", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.5, Issue 9, page no.523 - 530, September-2020, Available :https://ijsdr.org/papers/IJSDR2009088.pdf
Volume 5
Issue 9,
September-2020
Pages : 523 - 530
Paper Reg. ID: IJSDR_192538
Published Paper Id: IJSDR2009088
Downloads: 000347191
Research Area: Engineering
Country: Kurukshetra, HARYANA, India
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave
