Efficient halftone image steganography based on dispersion degree optimization

Xue, Yingjie; Liu, Wanteng; Lu, Wei; Yeung, Yuileong; Liu, Xianjin; Li, Hongmei

doi:10.1007/s11554-018-0822-8

Cited by 17 publications

(3 citation statements)

References 21 publications

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“…Cruz et al (2018) proposes a method in which letters, digits, and punctuation marks are represented with unique 3 × 3 patterns, and the pattern form of a plaintext payload is distributed in cover media appropriately. Since the embedding process on halftone images causes more visible distortions than grayscale or color images, several methods such as those proposed by Yu et al (2021) , Lu et al (2019) , Xue et al (2019) have been developed to minimize these distortions. Some methods, such as those proposed by Fu & Au (2003 , 2001a) , Pei & Guo (2003) , require a plain ( i.e ., does not carry payload) halftone cover media during payload extraction.…”

Section: Related Workmentioning

confidence: 99%

A novel steganography method for binary and color halftone images

Çiftci

Sümer

2022

PeerJ Computer Science

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Digital steganography is the science of establishing hidden communication on electronics; the aim is to transmit a secret message to a particular recipient using unsuspicious carriers such as digital images, documents, and audio files with the help of specific hiding methods. This article proposes a novel steganography method that can hide plaintext payloads on digital halftone images. The proposed method distributes the secret message over multiple output copies and scatters parts of the message randomly within each output copy for increased security. A payload extraction algorithm, where plain carrier is not required, is implemented and presented as well. Results gained from conducted objective and subjective tests prove that the proposed steganography method is secure and can hide large payloads.

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Section: Related Workmentioning

confidence: 99%

A novel steganography method for binary and color halftone images

Çiftci

Sümer

2022

PeerJ Computer Science

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“…The fusion strategies help merge ITC and MFD attention models into one attention model, and thus they are substantial to be consistent and stable. In this paper, two fusion strategies being minima fusion and mean fusion are put forth as Equations (17) and (18). The minima fusion strategy aims to improve security while the mean fusion strategy generates more payload capacity for embedding:…”

Section: Fusion Strategies Fine-tuning Process and Inference Technimentioning

confidence: 99%

“…Meng's method [16] improves security and robustness with the aid of Faster R-CNN's object detection on texture complex areas. Xue [17] proposes optimal dispersion degree on halftone images to measure region texture complexity. Huang [18] adds a texture-based loss to help GAN hide information.…”

Section: Introductionmentioning

confidence: 99%

BASN—Learning Steganography with a Binary Attention Mechanism

Chang

Yang

et al. 2020

Future Internet

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Secret information sharing through image carriers has aroused much research attention in recent years with images’ growing domination on the Internet and mobile applications. The technique of embedding secret information in images without being detected is called image steganography. With the booming trend of convolutional neural networks (CNN), neural-network-automated tasks have been embedded more deeply in our daily lives. However, a series of wrong labeling or bad captioning on the embedded images has left a trace of skepticism and finally leads to a self-confession like exposure. To improve the security of image steganography and minimize task result distortion, models must maintain the feature maps generated by task-specific networks being irrelative to any hidden information embedded in the carrier. This paper introduces a binary attention mechanism into image steganography to help alleviate the security issue, and, in the meantime, increase embedding payload capacity. The experimental results show that our method has the advantage of high payload capacity with little feature map distortion and still resist detection by state-of-the-art image steganalysis algorithms.

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Halftone Image Steganography with Flippability Measurement Based on Pixel Pairs

Liu

Xiao

et al. 2019

Security With Intelligent Computing and Big-Data Services

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Efficient halftone image steganography based on dispersion degree optimization

Cited by 17 publications

References 21 publications

A novel steganography method for binary and color halftone images

A novel steganography method for binary and color halftone images

BASN—Learning Steganography with a Binary Attention Mechanism

Halftone Image Steganography with Flippability Measurement Based on Pixel Pairs

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