Sudeep Nooly B

Work place: JNN College of Engineering/Department of Computer Science and Engineering, Shimoga, 577204, India



Research Interests:


Sudeep Nooly B is born in Shivamogga, Karanataka, India on 13th JAN 1997 and he received his Bachelor of Engineering Degree and Master’s of Technology Degree in the Department of Computer Science and Engineering from Visvesvaraya Technological University, Belgaum, Karnataka, India in 2019 and 2022 respectively.
He has 2.8 years of experience as an Cyber Security Engineer in the Private Organization, Bengaluru, and has published 1 research paper in International Journals. His areas of interest include, Cyber Security and Computer Networks.

Author Articles
Design and Development of Multidimensional Chaotic Maps with Genetic Operator

By Sudeep Nooly B Ravindra S

DOI:, 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.

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