Work place: JNN College of Engineering/Department of Computer Science and Engineering, Shimoga, 577204, India
Ravindra. S. received his B.E., in Electrical and Electronics Engineering., M.Tech., in Networking and Internet Engineering, and Ph.D in Faculty of Computer and Information Sciences from Visvesvaraya Technological University, Belgaum, Karnataka, India in 2006, 2008 and 2018 respectively.
At present he is working as Associate Professor, in Computer Science and Engineering department of JNN College of Engineering (affiliated to Visvesvaraya Technological University), Shivamogga, Karnataka, India. His areas of Interests include, Signal Processing for Wireless Communication, Data Science Etc.
DOI: https://doi.org/10.5815/ijmsc.2023.03.02, Pub. Date: 8 Aug. 2023
Security of a digital image can be achieved in number of ways including image Encryption and Decryption. Encryption technique tries to convert a plain image into the cipher image which is hard to understand. The decryption technique tries to convert a cipher image into the plain image. The image encryption is done inorder to provide security from attacks. In this work we aim to develop an image encryption technique based on multidimensional chaotic map with genetic operator. One of the powerful features of genetic operator is crossover which is used to confuse the pixels of the image. A combination of multidimensional chaotic maps, namely, Logistic, Henon and Chebyshev will be used to generate pseudorandom sequence which will be XOR'ed to obtain an unpredictable sequence. This sequence will be then applied to the Crossover unit and upon XOR'ed to obtain an encrypted image. Later the same upredictable sequence is generated while decrypting the image. By combining the entire different dimensional chaotic map namely Logistic, Henon, Chebyshev map along with the gentic operator called crossover will enhance the extra security to the digital image.[...] Read more.
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