基于对数排列的混合信息隐藏方案的小混淆分量构造

IF 1.7 4区 计算机科学 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Journal of Intelligent & Fuzzy Systems Pub Date : 2023-10-18 DOI:10.3233/jifs-233823
Majid Khan, Syeda Iram Batool, Noor Munir, Fahad Sameer Alshammari
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引用次数: 0

摘要

安全非线性密码布尔函数的设计与开发是现代信息保密方案中不可避免的措施。这就保证了非线性密码布尔函数的重要性和适用性。当前的通信将提出一种创新的、节能的轻量级非线性多值密码布尔函数。将所提出的非线性混淆元素用于秘密图像的图像加密和信息隐藏技术。我们提出了一种鲁棒的LSB隐写结构,用于隐藏在封面图像中的秘密。该方法为数字图像保护提供了一种有效的存储安全机制。该技术针对各种加密分析进行了评估,这些分析验证了我们提出的机制。
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Construction of small confusion component based on logarithmic permutation for hybrid information hiding scheme
The design and development of secure nonlinear cryptographic Boolean function plays an unavoidable measure for modern information confidentiality schemes. This ensure the importance and applicability of nonlinear cryptographic Boolean functions. The current communication is about to suggest an innovative and energy efficient lightweight nonlinear multivalued cryptographic Boolean function of modern block ciphers. The proposed nonlinear confusion element is used in image encryption of secret images and information hiding techniques. We have suggested a robust LSB steganography structure for the secret hiding in the cover image. The suggested approach provides an effective and efficient storage security mechanism for digital image protection. The technique is evaluated against various cryptographic analyses which authenticated our proposed mechanism.
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来源期刊
Journal of Intelligent & Fuzzy Systems
Journal of Intelligent & Fuzzy Systems 工程技术-计算机:人工智能
CiteScore
3.40
自引率
10.00%
发文量
965
审稿时长
5.1 months
期刊介绍: The purpose of the Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology is to foster advancements of knowledge and help disseminate results concerning recent applications and case studies in the areas of fuzzy logic, intelligent systems, and web-based applications among working professionals and professionals in education and research, covering a broad cross-section of technical disciplines.
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