The synchronisation control of fractional 4-D quantum game chaotic map with its application in image encryption

IF 3.4 2区 计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Applied Intelligence Pub Date : 2025-01-18 DOI:10.1007/s10489-025-06281-z
Zeyu Liu, Binshuai Feng, Yuxin Yao, Xujing Wang
{"title":"The synchronisation control of fractional 4-D quantum game chaotic map with its application in image encryption","authors":"Zeyu Liu,&nbsp;Binshuai Feng,&nbsp;Yuxin Yao,&nbsp;Xujing Wang","doi":"10.1007/s10489-025-06281-z","DOIUrl":null,"url":null,"abstract":"<div><p>In order to reflect the nonlinear dynamics of quantum game map more precisely and improve the performance of current cryptosystem, in this paper, we first obtain the fractional four-dimensional quantum game chaotic map according to the fractional calculus. We then proceed to obtain the trajectory, the maximum Lyapunov index, the bifurcation diagram of the aforementioned map, and compare its dynamical behaviours with those of the four-dimensional quantum game chaotic map. Subsequently, we design a synchronisation control system for the proposed fractional system and apply the two systems to the field of information security. Finally, we undertake a comprehensive analysis of the encryption system, examining it from five distinct perspectives. As a result, the key space of proposed algorithm equals to <span>\\(6.7 \\times 10^{165}\\)</span> and the encrypted image’s information entropy is 7.9997. The NPCR and UACI for the difference attack analysis is <span>\\(99.61\\%\\)</span> and <span>\\(33.44\\%\\)</span> respectively accompanied with that the correlation coefficients is near to 0. The result indicates that the proposed algorithm can defense both known plaintext and chosen plaintext attacks which means that it is superior to other algorithms in most of the above aspects.</p></div>","PeriodicalId":8041,"journal":{"name":"Applied Intelligence","volume":"55 5","pages":""},"PeriodicalIF":3.4000,"publicationDate":"2025-01-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Applied Intelligence","FirstCategoryId":"94","ListUrlMain":"https://link.springer.com/article/10.1007/s10489-025-06281-z","RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE","Score":null,"Total":0}
引用次数: 0

Abstract

In order to reflect the nonlinear dynamics of quantum game map more precisely and improve the performance of current cryptosystem, in this paper, we first obtain the fractional four-dimensional quantum game chaotic map according to the fractional calculus. We then proceed to obtain the trajectory, the maximum Lyapunov index, the bifurcation diagram of the aforementioned map, and compare its dynamical behaviours with those of the four-dimensional quantum game chaotic map. Subsequently, we design a synchronisation control system for the proposed fractional system and apply the two systems to the field of information security. Finally, we undertake a comprehensive analysis of the encryption system, examining it from five distinct perspectives. As a result, the key space of proposed algorithm equals to \(6.7 \times 10^{165}\) and the encrypted image’s information entropy is 7.9997. The NPCR and UACI for the difference attack analysis is \(99.61\%\) and \(33.44\%\) respectively accompanied with that the correlation coefficients is near to 0. The result indicates that the proposed algorithm can defense both known plaintext and chosen plaintext attacks which means that it is superior to other algorithms in most of the above aspects.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
分数阶四维量子博弈混沌映射的同步控制及其在图像加密中的应用
为了更准确地反映量子博弈映射的非线性动态,提高现有密码系统的性能,本文首先根据分数阶微积分得到了分数阶四维量子博弈混沌映射。然后,我们进一步得到了上述映射的轨迹、最大Lyapunov指数和分岔图,并将其动力学行为与四维量子博弈混沌映射的动力学行为进行了比较。随后,我们针对所提出的分数系统设计了一个同步控制系统,并将这两个系统应用于信息安全领域。最后,我们对加密系统进行了全面的分析,从五个不同的角度进行了检查。结果表明,该算法的密钥空间为\(6.7 \times 10^{165}\),加密图像的信息熵为7.9997。差异攻击分析的NPCR和UACI分别为\(99.61\%\)和\(33.44\%\),相关系数接近于0。结果表明,该算法既可以防御已知明文攻击,也可以防御选择明文攻击,在上述大多数方面都优于其他算法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Applied Intelligence
Applied Intelligence 工程技术-计算机:人工智能
CiteScore
6.60
自引率
20.80%
发文量
1361
审稿时长
5.9 months
期刊介绍: With a focus on research in artificial intelligence and neural networks, this journal addresses issues involving solutions of real-life manufacturing, defense, management, government and industrial problems which are too complex to be solved through conventional approaches and require the simulation of intelligent thought processes, heuristics, applications of knowledge, and distributed and parallel processing. The integration of these multiple approaches in solving complex problems is of particular importance. The journal presents new and original research and technological developments, addressing real and complex issues applicable to difficult problems. It provides a medium for exchanging scientific research and technological achievements accomplished by the international community.
期刊最新文献
Insulator defect detection from aerial images in adverse weather conditions A review of the emotion recognition model of robots Knowledge guided relation enhancement for human-object interaction detection A modified dueling DQN algorithm for robot path planning incorporating priority experience replay and artificial potential fields A non-parameter oversampling approach for imbalanced data classification based on hybrid natural neighbors
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1