arrow
返回

A cryptographic model for better information security

delete2018-12-01
delete23
PRE
AI
S
Sunil Kumar
M
Manish Kumar
R
Rajat Budhiraja
M
Malabika Das
S
Sanjeev Singh *
DOI:10.1016/j.jisa.2018.10.011delete
delete原文链接
delete原文求助
delete分享
delete收藏
摘要

摘要

En 中文
In this study, a novel cryptographic model that uses coupled map lattice is proposed for securing image. It incorporates mixing based on randomly generated secret key, sub-keys based substitution, confusion algorithm and coupled map lattice based diffusion process to enrich the security, sensitivity and robustness of the model. The control parameters of coupled map lattice and initial condition of chaotic systems are deduced using externally generated random secret key of 280-bit length. To make the encryption process more dependent on confusion and more sensitive to the encryption key, pixels of a channel are XOR-ed with pixels of other channel with an intelligent mix of sub-keys. Finally, the diffusion model based on coupled map lattice, binds the pixels in a way such that a single-bit change is reflected into a large number of pixels in the cipher image. Resistance to various kinds of attacks like plain text, brute force and statistical attacks are the important features observed in the proposed cryptographic model. Several studies related to correlation coefficients, histogram, anti-noise attacks, plain text analysis, NPCR, key sensitivity, UACI and key space analysis were carried out and corresponding results are given in detail. The simulation results yield an average NPCR score to be about 99.63% and UACI value 33.46%. A number of analysis performed and mentioned here, suggests the proposed model a potential candidate for image encryption application. (c) 2018 Elsevier Ltd. All rights reserved.
Keyword:
Confusion
Diffusion
Coupled map lattice
Encryption
Cryptography
AI总结

AI总结

对已上传原文的论文进行重点信息的提取,主要内容包括:简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。

期刊

Journal of Information Security and Applications 封面图
Journal of Information Security and Applications
IF:
3.7
论文数:
2.0K
被引数:
4.9K

机构

U
university of delhi
学者数:
1.2W
论文数: 9.7K
被引数: 3
引用论文

引用论文

Integrating hydrological modelling, data assimilation and cloud computing for real-time management of water resources
err2017-07-01
err0
errOAAI
errWolfgang Kurtz; Andrei Lapin; Oliver S. Schilling; Qi Tang; Eryk Schiller; Torsten Braun; Daniel Hunkeler; Harry Vereecken; Edward Sudicky; Peter Kropf; Harrie-Jan Hendricks Franssen; Philip Brunner
err分享
err收藏
Diversity of Moschidae (Ruminantia, Artiodactyla, Mammalia) in the Middle Miocene of China
err2015-04-01
err0
PREAI
errShiqi Wang; Qinqin Shi; Zhengchuang Hui; Yu Li; Jun Zhang; Tingjiang Peng
err分享
err收藏
err分享
err收藏
Interobserver Variability of Hip Dysplasia Indices on Sweep Ultrasound for Novices, Experts, and Artificial Intelligence
err2022-02-03
err0
PREAI
errSiyavash Ghasseminia; Andrew Kean Seng LIM; Nathan D.P. Concepcion; David Kirschner; Yi Ming TEO; Sukhdeep Dulai; Myles Mabee; Sara Kernick; Cain Brockley; Siska Muljadi; Pavel Singh; Abhilash Rakkunedeth Hareendranathan; Jeevesh Kapur; Dornoosh Zonoobi; Kumaradevan Punithakumar; Jacob L. Jaremko
err分享
err收藏
学者 查看更多内容