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DCLL—A Deep Network for Possible Real-Time Decoding of Imagined Words Read chapter Read first chapter

2023 | OriginalPaper | Chapter

DNA and Improved Sine Map Based Video Encryption

Authors : Sweta Kumari, Mohit Dua

Published in: International Symposium on Intelligent Informatics

Publisher: Springer Nature Singapore

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Abstract

The security of digitally shared data like images, audio and video incurs many security and privacy-related challenges such as unauthorized access. In this work, a video encryption technique using improved sine map and DNA sequencing has been proposed. The proposed video encryption process mainly consists of three phases. In the first phase, key is generated using SHA-256. The second phase comprises of permutation of the video frame using SHA-256 key and improved sine map. In the final phase, diffusion is performed of the permutated frame by using SHA-256 and DNA sequencing, to obtain encrypted video. The experimental outcomes unveil that the obtained entropy of the encrypted video frames is approximately 8 that reflects high randomness in the encrypted frame, and it has low correlation coefficients among neighbouring pixels in all three horizontal, vertical and diagonal directions. The presented scheme of video encryption is resistant to threats like brute force attack, plaintext attack and statistical attack.

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previous chapter Noise Classification and Removal in Compressively Sensed Surveillance Videos Using Statistical Measures
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Metadata
Title
DNA and Improved Sine Map Based Video Encryption
Authors
Sweta Kumari
Mohit Dua
Copyright Year
2023
Publisher
Springer Nature Singapore
Book
International Symposium on Intelligent Informatics

Print ISBN: 978-981-19-8093-0

Electronic ISBN: 978-981-19-8094-7

Copyright Year: 2023

DOI
https://doi.org/10.1007/978-981-19-8094-7_24