دورية أكاديمية
أعرض في EDS

Security-oriented steganographic payload allocation for multi-remote sensing images.

التفاصيل البيبلوغرافية
العنوان: Security-oriented steganographic payload allocation for multi-remote sensing images.
المؤلفون: Wu T; Digital Literacy and Skills Enhancement Research Center, Jiangxi Province Philosophy and Social Science Key Research Base, School of Public Policy and Administration, Nanchang University, Nanchang, 330031, China., Hu X; Digital Literacy and Skills Enhancement Research Center, Jiangxi Province Philosophy and Social Science Key Research Base, School of Public Policy and Administration, Nanchang University, Nanchang, 330031, China., Liu C; Digital Literacy and Skills Enhancement Research Center, Jiangxi Province Philosophy and Social Science Key Research Base, School of Public Policy and Administration, Nanchang University, Nanchang, 330031, China. liuchunnian@ncu.edu.cn.
المصدر: Scientific reports [Sci Rep] 2024 Feb 28; Vol. 14 (1), pp. 4826. Date of Electronic Publication: 2024 Feb 28.
نوع المنشور: Journal Article
اللغة: English
بيانات الدورية: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: PubMed not MEDLINE; MEDLINE
أسماء مطبوعة: Original Publication: London : Nature Publishing Group, copyright 2011-
مستخلص: Multi-image steganography, a technique for concealing information within multiple carrier mediums, finds remote sensing images to be particularly apt carriers due to their complex structures and abundant texture data. These characteristics bolster the resilience against steganalysis and enhance steganographic capacity. The efficacy of multi-image steganography hinges on the diplomatic strategy of cover selection and the meticulous allocation of the payload. Nevertheless, the majority of current methods, which are empirically formulated, predominantly focus on the texture complexity of individual images, thereby potentially undermining overall security. This paper introduces a security-oriented approach to steganographic payload allocation for multiple remote sensing images aimed at fortifying the security of multi-image steganography. Our primary contributions include employing a steganalysis pre-trained network to quantify texture complexity in remote sensing cover images, directly correlating it with security. Additionally, we have developed an adaptive payload allocation strategy for multiple images, which embeds a payload proximate to each image's maximal steganographic capacity while concurrently ensuring the security of the embedding process. Experimental results corroborate that our methodology excels in cover selection and payload allocation and achieves better undetectability against modern steganalysis tools.
(© 2024. The Author(s).)
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معلومات مُعتمدة: 72064027 National Natural Science Foundation of China; 22SKJD05 Jiangxi Provincial Philosophical and Social Science Key Research Base
تواريخ الأحداث: Date Created: 20240227 Latest Revision: 20240301
رمز التحديث: 20240301
مُعرف محوري في PubMed: PMC10899589
DOI: 10.1038/s41598-024-55474-y
PMID: 38413801
قاعدة البيانات: MEDLINE
الوصف
تدمد:2045-2322
DOI:10.1038/s41598-024-55474-y