Sanjeev R Kunte

Work place: J.N.N.College of Engineering, Shivamogga, 577204, India

E-mail: sanjeevkunte@jnnce.ac.in

Website:

Research Interests: Image Processing, Information Security, Pattern Recognition, Computer Vision

Biography

R Sanjeev Kunte received his B. E. Degree in Computer Science from Kuvempu University, M.Tech Degree in Computer Science from Visvesvaraya Technological University, PhD Degree in Computer Science from University of Mysore in 2009.

He has 22 years of experience in teaching and research. He has published more than 50 technical papers in reputed Conferences and Journals. His areas of interest include Image Processing, Pattern Recognition, Computer Vision and Information security. Reviewer for several International Journals and Technical Committee member, Program Committee member for several International Conferences. Resource person for many short-term training programs. Currently he is working as Professor and Head, Department of Information Science & Engineering, in J.N.N. Engineering college, Shivamogga, Karnataka, India.

Author Articles
Selective Video Encryption Using the Cross Coupling of One-dimensional Logistic Maps

By Rohit S Malladar Sanjeev R Kunte

DOI: https://doi.org/10.5815/ijcnis.2021.05.04, Pub. Date: 8 Oct. 2021

H.264 videos have been the most shared type of video format in recent times and hence its security is a major issue. The techniques presented in the recent times incur complex computations. The major research objective is to design an efficient Chaotic Selective Video Encryption (CSVE) technique which can result in a better visual degradation of the encrypted video with less computational complexity. In the proposed work, in order to secure the H.264 videos, two one-dimensional logistic maps are cross coupled in the chaotic encryption technique which uses a lookup table for data conversion. The technique is evaluated using different performance metrics like Peak Signal to Noise Ratio (PSNR), entropy, statistical analysis etc along with the traditional logistic map. The work is compared with some recent techniques in terms of PSNR and was found out that the proposed technique has better encryption effect.

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