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Genetic Algorithm Based Hybrid Attribute Selection Using Customized Fitness Function Read chapter Read first chapter

2018 | OriginalPaper | Chapter

Grayscale Image Encryption Based on Symmetric-Key Latin Square Image Cipher (LSIC)

Authors : V. Pawan Kumar, A. R. Aswatha, Smitha Sasi

Published in: Computational Vision and Bio Inspired Computing

Publisher: Springer International Publishing

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Abstract

The increased computing power and improving technologies demand the necessity for stronger encryption algorithms. Here we are introducing a new encryption method, Latin Square Image Cipher (LSIC) for grayscale image. This includes Latin square whitening, S-box, P-box and also LSB noise embedding for probabilistic encryption. As a result, using all the above primitives, LSIC is constructed as a Substitution-Permutation Network (SPN) consisting of eight stages of whitening, substitution and permutation using different Latin squares of order 256 at each stage. The proposed method has a good resistance against brute-force attacks, ciphertext attacks and plaintext attacks.

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Metadata
Title
Grayscale Image Encryption Based on Symmetric-Key Latin Square Image Cipher (LSIC)
Authors
V. Pawan Kumar
A. R. Aswatha
Smitha Sasi
Copyright Year
2018
Book
Computational Vision and Bio Inspired Computing

Print ISBN: 978-3-319-71766-1

Electronic ISBN: 978-3-319-71767-8

Copyright Year: 2018

DOI
https://doi.org/10.1007/978-3-319-71767-8_40