CCBRSN: A System with High Embedding Capacity for Covert Communication in Bitcoin

Reversible data hiding has attracted significant attention from researchers because it can extract an embedded secret message correctly and recover a cover image without distortion. In this paper, a novel, efficient reversible data hiding scheme is proposed for absolute moment block truncation code (AMBTC) compressed images. The proposed scheme is based on the high correlation of neighboring values in two mean tables of AMBTC-compressed images to further losslessly encode these values and create free space for containing a secret message. Experimental results demonstrated that the proposed scheme obtained a high embedding capacity and guaranteed the same PSNRs as the traditional AMBTC algorithm. In addition, the proposed scheme achieved a higher embedding capacity and higher efficiency rate than those of some previous schemes while maintaining an acceptable bit rate.

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High Embedding Capacity Data Hiding Algorithm for H.264/AVC Video Sequences without Intraframe Distortion Drift

Security and Communication Networks ◽

10.1155/2018/2029869 ◽

2018 ◽

Vol 2018 ◽

pp. 1-11 ◽

Cited By ~ 2

Author(s):

Dinh-Chien Nguyen ◽

Thai-Son Nguyen ◽

Chin-Chen Chang ◽

Huan-Sheng Hsueh ◽

Fang-Rong Hsu

Keyword(s):

Digital Media ◽

Data Hiding ◽

Video Sequences ◽

Embedding Capacity ◽

Secret Data ◽

Low Distortion ◽

High Embedding Capacity ◽

Advanced Video Coding ◽

Distortion Drift ◽

Capacity Data

Data hiding is a technique that allows secret data to be delivered securely by embedding the data into cover digital media. In this paper, we propose a new data hiding algorithm for H.264/advanced video coding (AVC) of video sequences with high embedding capacity. In the proposed scheme, to embed secret data into the quantized discrete cosine transform (QDCT) coefficients of I frames without any intraframe distortion drift, some embeddable coefficient pairs are selected in each block, and they are divided into two different groups, i.e., the embedding group and the averting group. The embedding group is used to carry the secret data, and the averting group is used to prevent distortion drift in the adjacent blocks. The experimental results show that the proposed scheme can avoid intraframe distortion drift and guarantee low distortion of video sequences. In addition, the proposed scheme provides enhanced embedding capacity compared to previous schemes. Moreover, the embedded secret data can be extracted completely without the requirement of the original secret data.

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Text Steganography with High Embedding Capacity Using Arabic Calligraphy

Advances in Intelligent Systems and Computing - Emerging Trends in Intelligent Computing and Informatics ◽

10.1007/978-3-030-33582-3_13 ◽

2019 ◽

pp. 127-138 ◽

Cited By ~ 1

Author(s):

Ali A. Hamzah ◽

Hanaa Bayomi

Keyword(s):

Embedding Capacity ◽

Text Steganography ◽

High Embedding Capacity ◽

Arabic Calligraphy

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A Novel High-Capacity Behavioral Steganographic Method Combining Timestamp Modulation and Carrier Selection Based on Social Networks

Symmetry ◽

10.3390/sym14010111 ◽

2022 ◽

Vol 14 (1) ◽

pp. 111

Author(s):

Mingliang Zhang ◽

Zhenyu Li ◽

Pei Zhang ◽

Yi Zhang ◽

Xiangyang Luo

Keyword(s):

Social Networks ◽

High Frequency ◽

High Capacity ◽

Extraction Process ◽

Secret Message ◽

Covert Communication ◽

Embedding Capacity ◽

Carrier Selection ◽

Text Steganography

Behavioral steganography is a method used to achieve covert communication based on the sender’s behaviors. It has attracted a great deal of attention due to its robustness and wide application scenarios. Current behavioral steganographic methods are still difficult to apply in practice because of their limited embedding capacity. To this end, this paper proposes a novel high-capacity behavioral steganographic method combining timestamp modulation and carrier selection based on social networks. It is a steganographic method where the embedding process and the extraction process are symmetric. When sending a secret message, the method first maps the secret message to a set of high-frequency keywords and divides them into keyword subsets. Then, the posts containing the keyword subsets are retrieved on social networks. Next, the positions of the keywords in the posts are modulated as the timestamps. Finally, the stego behaviors applied to the retrieved posts are generated. This method does not modify the content of the carrier, which ensures the naturalness of the posts. Compared with typical behavioral steganographic methods, the embedding capacity of the proposed method is 29.23∼51.47 times higher than that of others. Compared to generative text steganography, the embedding capacity is improved by 16.26∼23.94%.

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Design of an Edge Detection Based Image Steganography with High Embedding Capacity

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering - Quality, Reliability, Security and Robustness in Heterogeneous Networks ◽

10.1007/978-3-642-37949-9_69 ◽

2013 ◽

pp. 794-800 ◽

Cited By ~ 4

Author(s):

Arup Kumar Pal ◽

Tarok Pramanik

Keyword(s):

Edge Detection ◽

Image Steganography ◽

Embedding Capacity ◽

High Embedding Capacity

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A novel two-dimensional reversible data hiding method with high embedding capacity in H.264/advanced video coding

International Journal of Distributed Sensor Networks ◽

10.1177/1550147720911001 ◽

2020 ◽

Vol 16 (3) ◽

pp. 155014772091100

Author(s):

Yi Chen ◽

Hongxia Wang ◽

Xiaoxu Tang ◽

Yong Liu ◽

Hanzhou Wu ◽

...

Keyword(s):

Video Coding ◽

Video Compression ◽

Data Hiding ◽

Reversible Data Hiding ◽

Error Concealment ◽

Similarity Index ◽

Two Dimensional ◽

Embedding Capacity ◽

High Embedding Capacity ◽

Advanced Video Coding

Developing the technology of reversible data hiding based on video compression standard, such as H.264/advanced video coding, has attracted increasing attention from researchers. Because it can be applied in some applications, such as error concealment and privacy protection. This has motivated us to propose a novel two-dimensional reversible data hiding method with high embedding capacity in this article. In this method, all selected quantized discrete cosine transform coefficients are first paired two by two. And then, each zero coefficient-pair can embed 3 information bits and the coefficient-pairs only containing one zero coefficient can embed 1 information bit. In addition, only one coefficient of each one of the rest coefficient-pairs needs to be changed for reversibility. Therefore, the proposed two-dimensional reversible data hiding method can obtain high embedding capacity when compared with the related work. Moreover, the proposed method leads to less degradation in terms of peak-signal-to-noise ratio, structural similarity index, and less impact on bit-rate increase.

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A High Capacity Reversible Data Hiding Scheme Based on Multi-Level Integer DWT and Histogram Modification

International Journal of Digital Crime and Forensics ◽

10.4018/ijdcf.2014010104 ◽

2014 ◽

Vol 6 (1) ◽

pp. 51-64 ◽

Cited By ~ 1

Author(s):

Shun Zhang ◽

Tie-gang Gao ◽

Fu-sheng Yang

Keyword(s):

Data Hiding ◽

Reversible Data Hiding ◽

Wavelet Transformation ◽

High Capacity ◽

Discrete Wavelet ◽

Embedding Capacity ◽

Discrete Cosine Transformation ◽

Histogram Modification ◽

Multi Level ◽

High Embedding Capacity

A reversible data hiding scheme based on integer DWT and histogram modification is proposed. In the scheme, the cover media is firstly transformed by Integer DWT (Discrete Wavelet Transformation); then information is embedded through the modification of histograms of the middle and high frequency sub-bands of the DWT coefficients. In order to increase the embedding capacity, a multi-level scheme is proposed, which achieved both high embedding capacity and reversibility. Extensive experimental results have shown that the proposed scheme achieves both higher embedding capacity and lower distortion than spatial domain histogram modification based schemes; and it achieved better performance than integer DCT (Discrete Cosine Transformation) based histogram modification scheme.

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Reversible Data Hiding with Pixel Prediction and Additive Homomorphism for Encrypted Image

Security and Communication Networks ◽

10.1155/2018/9103418 ◽

2018 ◽

Vol 2018 ◽

pp. 1-13 ◽

Cited By ~ 1

Author(s):

Chunqiang Yu ◽

Xianquan Zhang ◽

Zhenjun Tang ◽

Yan Chen ◽

Jingyu Huang

Keyword(s):

Data Hiding ◽

Reversible Data Hiding ◽

Data Extraction ◽

Visual Quality ◽

Input Image ◽

Embedding Capacity ◽

Secret Data ◽

Encrypted Image ◽

High Embedding Capacity ◽

Additive Homomorphism

Data hiding in encrypted image is a recent popular topic of data security. In this paper, we propose a reversible data hiding algorithm with pixel prediction and additive homomorphism for encrypted image. Specifically, the proposed algorithm applies pixel prediction to the input image for generating a cover image for data embedding, referred to as the preprocessed image. The preprocessed image is then encrypted by additive homomorphism. Secret data is finally embedded into the encrypted image via modular 256 addition. During secret data extraction and image recovery, addition homomorphism and pixel prediction are jointly used. Experimental results demonstrate that the proposed algorithm can accurately recover original image and reach high embedding capacity and good visual quality. Comparisons show that the proposed algorithm outperforms some recent algorithms in embedding capacity and visual quality.

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