A multi-image steganography: ISS

Abstract Unlike single-image steganography, the scheme of payload distribution on different images plays a pivotal role in the security performance of multi-image steganography. In this paper, a novel multi-image steganography scheme: image stitching sender (ISS) is proposed, which achieves optimal...

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Main Authors: Shihao Zhang, Yanhui Xiao, Huawei Tian, Xiaolong Li
Format: Article
Language:English
Published: SpringerOpen 2025-03-01
Series:Cybersecurity
Subjects:
Online Access:https://doi.org/10.1186/s42400-024-00333-6
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author Shihao Zhang
Yanhui Xiao
Huawei Tian
Xiaolong Li
author_facet Shihao Zhang
Yanhui Xiao
Huawei Tian
Xiaolong Li
author_sort Shihao Zhang
collection DOAJ
description Abstract Unlike single-image steganography, the scheme of payload distribution on different images plays a pivotal role in the security performance of multi-image steganography. In this paper, a novel multi-image steganography scheme: image stitching sender (ISS) is proposed, which achieves optimal payload distribution by optimizing the stitching scheme of multi-cover-images. In the ISS scheme, we employ peak signal-to-noise ratio as the similarity evaluation metric for the stitched cover image and stego image. Besides, genetic algorithm is used to find the local optimal solution for the similarity, corresponding to a locally optimal multi-image steganographic stitching scheme. The experiment demonstrates that ISS exhibits enhanced anti-detection capabilities in comparison to other multi-image steganography schemes. Furthermore, when combined with non-additive embedding methods, the ISS can achieve a more substantial improvement in security compared to additive embedding methods.
format Article
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institution Kabale University
issn 2523-3246
language English
publishDate 2025-03-01
publisher SpringerOpen
record_format Article
series Cybersecurity
spelling doaj-art-002d3bce2ecd4ce29daf5536aada6d022025-08-20T03:53:12ZengSpringerOpenCybersecurity2523-32462025-03-018111810.1186/s42400-024-00333-6A multi-image steganography: ISSShihao Zhang0Yanhui Xiao1Huawei Tian2Xiaolong Li3School of Information Network Security, People’s Public Security University of ChinaSchool of National Security, People’s Public Security University of ChinaOffice of Academic Research, People’s Public Security University of ChinaInstitute of Information Science, Beijing Jiaotong UniversityAbstract Unlike single-image steganography, the scheme of payload distribution on different images plays a pivotal role in the security performance of multi-image steganography. In this paper, a novel multi-image steganography scheme: image stitching sender (ISS) is proposed, which achieves optimal payload distribution by optimizing the stitching scheme of multi-cover-images. In the ISS scheme, we employ peak signal-to-noise ratio as the similarity evaluation metric for the stitched cover image and stego image. Besides, genetic algorithm is used to find the local optimal solution for the similarity, corresponding to a locally optimal multi-image steganographic stitching scheme. The experiment demonstrates that ISS exhibits enhanced anti-detection capabilities in comparison to other multi-image steganography schemes. Furthermore, when combined with non-additive embedding methods, the ISS can achieve a more substantial improvement in security compared to additive embedding methods.https://doi.org/10.1186/s42400-024-00333-6Multi-image steganographySingle-image steganographyNon-additive steganographyPayload distribution
spellingShingle Shihao Zhang
Yanhui Xiao
Huawei Tian
Xiaolong Li
A multi-image steganography: ISS
Cybersecurity
Multi-image steganography
Single-image steganography
Non-additive steganography
Payload distribution
title A multi-image steganography: ISS
title_full A multi-image steganography: ISS
title_fullStr A multi-image steganography: ISS
title_full_unstemmed A multi-image steganography: ISS
title_short A multi-image steganography: ISS
title_sort multi image steganography iss
topic Multi-image steganography
Single-image steganography
Non-additive steganography
Payload distribution
url https://doi.org/10.1186/s42400-024-00333-6
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