A satellite communication zero steganography algorithm

Bai, Ding; Chen, Xiaoli; Mao, Tian

doi:10.1007/s11042-016-4169-5

Cited by 3 publications

(2 citation statements)

References 6 publications

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“…The result is shown as Figure 9, in which the X-axis represents the size of the filter, and the Yaxis represents BER. Table 4 shows different BER of the algorithm CBZS (chaos based zero steganography) [12], SCZS (satellite communication zero steganography algorithm) [31] and CSD (chaotic sequences and image DCT algorithm) [16] when attacked by the mean filter. There are two parameters of the Gaussian low-pass filter, namely size and Gaussian variance.…”

Section: Low-pass Filtermentioning

confidence: 99%

“…As shown in Figure 10, the proposed method has robust ability to attacks from Gaussian low-pass filter. Table 5 provides the comparison among the CBD (chaos based DCT steganography) algorithm [29], the CBZS (satellite communication zero steganography algorithm) algorithm [31] and the CSD (chaotic sequences and image DCT algorithm) algorithm [16].…”

Section: Low-pass Filtermentioning

confidence: 99%

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A Coverless Information Hiding Algorithm Based on Grayscale Gradient Co-occurrence Matrix

Liu

Dai

et al. 2018

IETE Technical Review

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In this paper, a coverless information hiding algorithm is introduced. In which, the grayscale gradient co-occurrence matrix is used to encode images and the mapping relationship between the images and the random numbers is used to express the payload information. There are three steps for this algorithm. Firstly, the grayscale gradient co-occurrence matrix of cover image is calculated, in accordance with which a descriptor is introduced. Secondly, the descriptor is quantized into a binary sequence to construct a mapping relationship between the cover image and the binary random numbers. Finally, the binary secret information sequence is divided into many segments, and the correct images corresponding to those segments are selected from the image database according to the mapping relationship. Moreover, the secret information is encrypted by Turbo encoder to improve the security. The experimental results show that the proposed algorithm has a good tolerance towards JPEG compression attack and low-pass filter attack. This promising algorithm which can be applied into remote sensing satellites leads an applied value in covert communication with high-security.

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Section: Low-pass Filtermentioning

confidence: 99%

Section: Low-pass Filtermentioning

confidence: 99%

A Coverless Information Hiding Algorithm Based on Grayscale Gradient Co-occurrence Matrix

Liu

Dai

et al. 2018

IETE Technical Review

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Key Generation for Zero Steganography Using DNA Sequences

Nisperos

Gerardo

Hernandez

2020

2020 12th International Conference on Electronics, Computers and Artificial Intelligence (ECAI)

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A New Data Coding Algorithm for Secure Communication of Image

Oğraş

2024

Chaos Theory and Applications

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This paper proposes an entropy-sensitive based data coding algorithm for the secure communication of image information between transceiver systems. The proposed algorithm utilizes chaos theory as well as image information content of reference image in order to create sensitivity on decoding side for the high level of secrecy. This article aims to recover secret images at the receiver side by using secret code series related both secret and reference images, instead of direct transmission. The code series used in the algorithm depends on the parameters of the chaotic Logistic map and entropy of the reference image. The image information can be retrieved only through the same reference image, same system parameters and identical code series under the proper decoding technique in the receiver side. Moreover, the proposed algorithm offers high sensitivity to the reference image and the parameters of the chaotic system in such way that if a single bit change in any pixel of the reference image, the secret image cannot be recovered even with the same system parameters of the decoding algorithm. Experimental results on various images show that the proposed algorithm is reliable, fast and effective in securing confidential image information.

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A satellite communication zero steganography algorithm

Cited by 3 publications

References 6 publications

A Coverless Information Hiding Algorithm Based on Grayscale Gradient Co-occurrence Matrix

A Coverless Information Hiding Algorithm Based on Grayscale Gradient Co-occurrence Matrix

Key Generation for Zero Steganography Using DNA Sequences

A New Data Coding Algorithm for Secure Communication of Image

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