INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
The protection of data is a major concern in recent times. Many image encryption techniques have been prevailing in recent times. Among them, the most efficient is the chaotic maps technique which resembles the diffusion and perplexity properties. The Logistic Maps in chaos system is a high-speed technique and the best against brute force attacks. In this method, the logistic mathematical equation with a dynamic key is used for encrypting the Image. Image encryption can be built efficiently by logistic mapping with serial XOR operation as uncertain and random features of the chaos method increase the confidentiality of the information. Also, comparisons have been made between Logistic maps and Arnold cat map, for both standard and real-time images based on various parameters such as Number of Pixels Change Rate, Unified Average Change in Intensity, Information Entropy, Structural Similarity Index Measure, Naturalness Image Quality Evaluator. The memory utilization and execution time have been decreased compared to the other chaotic maps.
Keywords:
Chaotic logistic maps, correlation
Cite Article:
"Expedition Of Chaos Driven Facsimile Using Dynamic Approach", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 4, page no.b470-b476, April-2023, Available :http://www.ijnrd.org/papers/IJNRD2304156.pdf
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ISSN:
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
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