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

Symmetry ◽  
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%.

scholarly journals High-Capacity Robust Behavioral Steganography Method Based on Timestamp Modulation across Social Internet of Things

2021 ◽  
Vol 2021 ◽  
pp. 1-16
Author(s):  
Mingliang Zhang ◽  
Xiangyang Luo ◽  
Pei Zhang ◽  
Hao Li ◽  
Yi Zhang ◽  
...  
Keyword(s):  
Social Networks ◽  
Internet Of Things ◽  
Data Privacy ◽  
Common Property ◽  
High Capacity ◽  
Secret Message ◽  
Embedding Capacity ◽  
Social Internet Of Things ◽  
High Embedding Capacity ◽  
Interaction Behaviors

Social Internet of Things (SIoT) is an emerging field that combines IoT and Internet, which can provide many novel and convenient application scenarios but still faces challenges in data privacy protection. In this paper, we propose a robust behavioral steganography method with high embedding capacity across social networks based on timestamp modulation. Firstly, the IoT devices on the sending end modulate the secret message to be embedded into a timestamp by using the common property on social networks. Secondly, the accounts of multiple social networks are used as the vertices, and the timestamp mapping relationship generated by the interaction behaviors between them is used as the edges to construct a directed secret message graph across social networks. Then, the frequency of interaction behaviors generated by users of mainstream social networks is analyzed; the corresponding timestamps and social networks are used to implement interaction behaviors based on the secret message graph and the frequency of interaction behaviors. Next, we analyze the frequency of interaction behaviors generated by users in mainstream social networks, implement the interaction behaviors according to the secret message graph and the frequency of interaction behaviors in the corresponding timestamps and social networks, and combine the redundant mapping control to complete the embedding of secret message. Finally, the receiver constructs the timestamp mapping relationship through the shared account, key, and other parameters to achieve the extraction of secret message. The algorithm is robust and does not have the problem that existing multimedia-based steganography methods are difficult to extract the embedded messages completely. Compared with existing graph theory-based social network steganography methods, using timestamps and behaviors frequencies to hide message in multiple social networks increases the cost of detecting covert communication and improves concealment of steganography. At the same time, the algorithm uses a directed secret message graph to increase the number of bits carried by each behavior and improves the embedding capacity. A large number of tests have been conducted on mainstream social networks such as Facebook, Twitter, and Weibo. The results show that the proposed method successfully distributes secret message to multiple social networks and achieves complete extraction of embedded message at the receiving end. The embedding capacity is increased by 1.98–4.89 times compared with the existing methods SSN, NGTASS, and SGSIR.

A High-Capacity Covering Code for Voice-Over-IP Steganography

2015 ◽  
Vol 10 (3) ◽  
pp. 46-63
Author(s):  
Hui Tian ◽  
Jie Qin ◽  
Yongfeng Huang ◽  
Xu An Wang ◽  
Jin Liu ◽  
...  
Keyword(s):  
High Capacity ◽  
Voice Over Ip ◽  
Experimental Results ◽  
Secret Message ◽  
Embedding Capacity ◽  
Good Balance ◽  
Covering Code ◽  
Conflicting Objectives ◽  
Embedding Distortion

Although steganographic transparency and embedding capacity are considered to be two conflicting objectives in the design of steganographic systems, it is possible and necessary to strike a good balance between them in Voice-over-IP steganography. In this paper, to improve steganographic transparency while maintaining relatively large embedding capacity, the authors present a (2n-1, 2n) covering code, which can hide 2n-1 bits of secret messages into 2n bits of cover messages with not more than n-bit changed. Specifically, each (2n-1)-bit secret message is first transformed into two 2n-bit candidate codewords. In embedding process, the cover message is replaced with the optimal codeword more similar with it. In this way, the embedding distortion can be largely reduced. The proposed method is evaluated by comparing with existing ones with a large number of ITU-T G.729a encoded speech samples. The experimental results show that the authors' scheme can provide good performance on both steganographic transparency and embedding capacity, and achieve better balance between the two objectives than the existing ones.

scholarly journals A Novel Approach for Arabic Text Steganography Based on the “BloodGroup” Text Hiding Method

2017 ◽  
Vol 7 (2) ◽  
pp. 1482-1485
Author(s):  
S. Malalla ◽  
F. R. Shareef
Keyword(s):  
Blood Group ◽  
Time Complexity ◽  
Third Party ◽  
Secret Message ◽  
Covert Communication ◽  
Arabic Text ◽  
Hiding Capacity ◽  
Novel Approach ◽  
Text Steganography

Steganography is the science of hiding certain messages (data) in groups of irrelevant data possibly of other form. The purpose of steganography is covert communication to hide the existence of a message from an intermediary. Text Steganography is the process of embedding secret message (text) in another text (cover text) so that the existence of secret message cannot be detected by a third party. This paper presents a novel approach for text steganography using the Blood Group (BG) method based on the behavior of blood group. Experimentally it is found that the proposed method got good results in capacity, hiding capacity, time complexity, robustness, visibility, and similarity which shows its superiority as compared to most several existing methods.

scholarly journals Information Hiding Based on Histogram and Pixel Pattern

2017 ◽  
Author(s):  
Ari Moesriami Barmawi ◽  
Deden Pradeka
Keyword(s):  
Information Hiding ◽  
Information Exchange ◽  
High Capacity ◽  
Cover Image ◽  
Secret Message ◽  
Embedding Capacity ◽  
Stego Image ◽  
Image Histogram ◽  
Pixel Value ◽  
Value Changes

Recently, information exchange using internet is increasing, such that information security is necessary for securing confidential information because it is possible to eavesdrop the information. There are several methods for securing the exchanged information such as was proposed by Rejani et al. Rejani’s method can be noiseless in low capacity but noisy in high capacity. In the case of high capacity, it will raise suspicion. This research proposed a method based on histogram and pixel pattern for keeping the stego image noiseless while still keeping the capacity high. Secret information can be embedded into the cover by evaluating the histogram and map the characters used in the secret message to the consecutive intensity in the cover image histogram. The map of the characters is sent to the recipient securely. Using the proposed method there is no pixel value changes during the embedding process. Based on the result of the experiments, it is shown that in noiseless condition, the proposed method has higher embedding capacity than Rejani’s especially when using cover image with sizes larger than 128 × 128. Thus, in noiseless condition the embedding capacity using the proposed method is higher than Rejani’s method in noiseless condition.  

scholarly journals Steganography in animated emoji using self-reference

2021 ◽  
Author(s):  
Zhiying Zhu ◽  
Qichao Ying ◽  
Zhenxing Qian ◽  
Xinpeng Zhang
Keyword(s):  
Social Networks ◽  
Online Social Networks ◽  
State Of The Art ◽  
Distortion Function ◽  
Experimental Results ◽  
Secret Message ◽  
Covert Communication ◽  
Trellis Coding ◽  
Art Works ◽  
Self Reference

AbstractAnimated emoji is a kind of GIF image, which is widely used in online social networks (OSN) for its efficiency in transmitting vivid and personalized information. Aiming at realizing covert communication in animated emoji, this paper proposes an improved steganography framework in animated emoji. We propose a self-reference algorithm to improve the steganography security. Meanwhile, the relations between adjacent frames of the cover GIF image are considered to further improve the distortion function. After that we embed the secret message into the GIF image using the popular framework of Syndrome Trellis Coding (STC). Experimental results show that the proposed method can provide better security performances than state-of-the-art works.

scholarly journals High Capacity Steganography Protected using Shamir’s Threshold Scheme and Permutation Framework

2019 ◽  
Vol 8 (9S) ◽  
pp. 784-795
Keyword(s):  
High Capacity ◽  
Extraction Process ◽  
Threshold Scheme ◽  
Embedding Capacity ◽  
Secret Information ◽  
Shared Secret ◽  
Pixel Value ◽  
Pixel Value Differencing ◽  
Pixel Value Difference ◽  
Selection Of

This paper presents a framework that conceal large volume of secret information using distributed file system that permit implantation of decomposed secret images across multiple-cover images. The strong security is imposed utilizing Shamir’s threshold scheme and permutation generator framework. Three layers of security is being applied to protect the secret information, in first, secret image is decomposed into equal size of smaller sub-images and generate a framework of permutations from an integer for distributing and reassembling the circulated broken secret sub images among the intended participants. At the time of embedding purpose of permutation generator is to arrange the sub-images in unknown order for outsider. During the discloser stage only inverse of permutation can rearrange the distributed sub-images to reassemble into original image by authorized contributors. In second, Shamir’s threshold scheme is designed for authentication of shared associated stego-cover images before starting the extraction process. This process provides an extremely secured construction of shared secret information. In third, image is divided in 2x2 blocks of pixels and traverses it in zig-zag manner; the pixel value difference is computed for all Red, Green, and Blue (RGB) components between non-overlapping pixels of selected diagonal path with in targeted block. Secret bits are concealed inside RGB color pixels of cover image by utilizing proposed novel pixel-value differencing (PVD) scheme, furthermore varying embedding capacity may be obtained by controlling the selection of number of 2x2 block. Exploratory result displays that the proposed approach provides productive algorithms in term multilayer unbreakable security and higher payload of embedded information.

scholarly journals High-Capacity and High-Quality Reversible Data Hiding Method Using Recurrent Round-Trip Embedding Strategy in the Quotient Image

2021 ◽  
Vol 11 (21) ◽  
pp. 10157
Author(s):  
Chin-Feng Lee ◽  
Hua-Zhe Wu
Keyword(s):  
Image Quality ◽  
Data Hiding ◽  
Information Hiding ◽  
Reversible Data Hiding ◽  
High Capacity ◽  
Secret Message ◽  
Embedding Capacity ◽  
Round Trip ◽  
Pixel Value ◽  
Embedding Strategy

In previous research, scholars always think about how to improve the information hiding algorithm and strive to have the largest embedding capacity and better image quality, restoring the original image. This research mainly proposes a new robust and reversible information hiding method, recurrent robust reversible data hiding (triple-RDH), with a recurrent round-trip embedding strategy. We embed the secret message in a quotient image to increase the image robustness. The pixel value is split into two parts, HiSB and LoSB. A recurrent round-trip embedding strategy (referred to as double R-TES) is designed to adjust the predictor and the recursive parameter values, so the pixel value carrying the secret data bits can be first shifted to the right and then shifted to the left, resulting in pixel invariance, so the embedding capacity can be effectively increased repeatedly. Experimental results show that the proposed triple-RDH method can effectively increase the embedding capacity up to 310,732 bits and maintain a certain level of image quality. Compared with the existing pixel error expansion (PEE) methods, the triple-RDH method not only has a high capacity but also has robustness for image processing against unintentional attacks. It can also be used for capacity and image quality according to the needs of the application, performing adjustable embedding.

scholarly journals High-Capacity Embedding Method Based on Double-Layer Octagon-Shaped Shell Matrix

Symmetry ◽  
2021 ◽  
Vol 13 (4) ◽  
pp. 583
Author(s):  
Chin-Feng Lee ◽  
Jau-Ji Shen ◽  
Somya Agrawal ◽  
Yen-Hsi Li
Keyword(s):  
Double Layer ◽  
Data Hiding ◽  
Signal To Noise Ratio ◽  
High Capacity ◽  
Secret Message ◽  
Embedding Capacity ◽  
Secret Data ◽  
Shell Matrix ◽  
Pixel Pair ◽  
Geometrical Shapes

Data hiding is a technique that embeds a secret message into a cover medium and transfers the hidden information in the secret message to the recipient. In the past, several data hiding methods based on magic matrix have used various geometrical shapes to transmit secret data. The embedding capacity achieved in these methods was often limited due to simple geometrical layouts. This paper proposes a data hiding scheme based on a double-layer octagon-shaped shell matrix. Compared to previous octagon-shaped data hiding methods, the proposed method embeds a total of 7 bits in each pixel pair, reaching an embedding capacity of 3.5 bits per pixel (bpp). Experimental results show that the proposed scheme has a higher embedding capacity compared to other irreversible data hiding schemes. Using the proposed method, it is possible to maintain the Peak Signal to Noise Ratio (PSNR) within an acceptable range with the embedding time less than 2 s.

scholarly journals A Comparative Analysis of Arabic Text Steganography

2021 ◽  
Vol 11 (15) ◽  
pp. 6851
Author(s):  
Reema Thabit ◽  
Nur Izura Udzir ◽  
Sharifah Md Yasin ◽  
Aziah Asmawi ◽  
Nuur Alifah Roslan ◽  
...  
Keyword(s):  
Evaluation Criteria ◽  
Arabic Language ◽  
Text Messages ◽  
Secret Message ◽  
Sensitive Information ◽  
Arabic Text ◽  
Ideal Object ◽  
Internet Users ◽  
Text Steganography ◽  
Text Content

Protecting sensitive information transmitted via public channels is a significant issue faced by governments, militaries, organizations, and individuals. Steganography protects the secret information by concealing it in a transferred object such as video, audio, image, text, network, or DNA. As text uses low bandwidth, it is commonly used by Internet users in their daily activities, resulting a vast amount of text messages sent daily as social media posts and documents. Accordingly, text is the ideal object to be used in steganography, since hiding a secret message in a text makes it difficult for the attacker to detect the hidden message among the massive text content on the Internet. Language’s characteristics are utilized in text steganography. Despite the richness of the Arabic language in linguistic characteristics, only a few studies have been conducted in Arabic text steganography. To draw further attention to Arabic text steganography prospects, this paper reviews the classifications of these methods from its inception. For analysis, this paper presents a comprehensive study based on the key evaluation criteria (i.e., capacity, invisibility, robustness, and security). It opens new areas for further research based on the trends in this field.

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