A novel coverless information hiding method based on the average pixel value of the sub-images

Zou, Liming; Sun, Jiande; Gao, Min; Wan, Wenbo; Gupta, Brij B.

doi:10.1007/s11042-018-6444-0

Cited by 74 publications

(39 citation statements)

References 19 publications

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“…Thus, each image can hide (66*64)/(5*5) = 163 bits. Table 4 shows the comparison of TTMSB method, Zhou's method [27], Yuan's method [31], Zheng's method [32] and Zou's method [33] in their ability to hide information. As can be seen from table 4, the information hidden capacity of TTMSB method is 20 times that of Zhou's method and Yuan's method, 9 times that of Zheng's method and 2 times that of Zou's method.…”

Section: E Capacity Analysismentioning

confidence: 99%

Preference Preserved Privacy Protection Scheme for Smart Home Network System Based on Information Hiding

2020

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Smart home is an emerging form of the Internet of things (IoT), which provides a convenient and comfortable living environment for the smart home users. With the explosive growth of smart home information, people pay more attention to the privacy protection of smart home, including the choice of privacy and effective privacy protection scheme. This paper proposes a privacy protection scheme based on information hiding, the scheme guarantees the sensitive data transmitted securely. First, the smart home Real-time sensor data are classified into sensitive data and non-sensitive data through machine learning, the process can be controlled according to the user's preferences. Second, the sensitive data can be transmitted securely by ordinary channels using method of combination encryption with information hiding. Experiment results show that this scheme can help users to express their preferences to the privacy protection, changing the previous practice that users can only accept the privacy settings provided by the supplier. What's more, the scheme combines encryption with information hiding, providing a double guarantee for the sensitive data during they are transmitted on ordinary channels. Comparing to the previous practice of using encryption merely, this scheme greatly improves the security of data transmission and is more suitable for the real environment. INDEX TERMS Smart home, privacy protection, data encryption, information hiding.

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Section: E Capacity Analysismentioning

confidence: 99%

Preference Preserved Privacy Protection Scheme for Smart Home Network System Based on Information Hiding

2020

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“…Zou et al [21] proposed a method, which hides the secret information using the average of sub images. A hashing algorithm was used to generate the hashing sequence, which in turn is mapped with the hash array using a dictionary with some set of rules framed.…”

Section: Related Workmentioning

confidence: 99%

Coverless VoIP Steganography Using Hash and Hash

Penelova

2020

Cybernetics and Information Technologies

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Performing secure and robust embedding and extracting in real time voice streams without deteriorating the voice quality is a great challenge. This paper aims on hiding the secret data bits in the voice packets without modifying any data in the cover thereby improving the embedding transparency and becomes robust against the steganalysis attacks using coverless approach. Initially a hash array is built with the frame size. The cover bit position is identified from the hashing function. The hash array is marked with a flag value to indicate that the particular sample consist of the secret message bit. The hash array is attached with the VoIP samples, at the receiver side the hash table is separated, and the secret bits are extracted based on the hash array. The experimental results conducted on a VoIP prototype proved to be simpler and effective in terms of the computational complexity, undetectability and voice quality at both sender and receiver end.

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“…proposed a novel coverless steganographic approach without any modification for transmitting the secret image by a set of partial duplicates of the given secret image as stego-images [20], which are retrieved from a natural image database in the meantime [21]. Zou et al proposed a novel coverless information hiding method based on the average pixel values of sub-images to improve the information hiding capacity by generating hash sequences and realizing the secret information hiding [41]. A novel coverless image steganography algorithm based on discrete cosine transform and latent Dirichlet allocation (LDA) topic classification was proposed by Zhang et al to improve the robustness and capability of resisting image steganalysis, which has great potential application in secure communication of big data environment [42].…”

Section: Progress In the Past Five Yearsmentioning

confidence: 99%

“…And then the receiver can get corresponding position information of each segment of secret information. Finally, each segment of secret information can be extracted according to the position information [41]. The complete flow of this method can be seen in Fig.16, the entire process consists of the following parts: 1) Building data sets.…”

Section: Coverless Information Hiding Based On the Average Pixel Vmentioning

confidence: 99%

Coverless Image Steganography: A Survey

et al. 2019

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With the digitalization of information, a lot of multimedia data are under attack, information security has become a key issue of public concern. Image steganography, aiming at using cover images to convey secret information has become one of the most challenge and important subjects in the field of information security recently. Different from the traditional image steganography, coverless image steganography does not need to employ the designated cover image for embedding the secret data but directly transfers secret information through its own properties such as pixel brightness value, color, texture, edge, contour and high-level semantics. Therefore, it radically resist the detection of steganalysis tools and significantly improves the security of the image. Its basic idea is to analyze the attributes of the image and map them to the secret information according to certain rules based on the characteristics of the attributes. This paper includes more than 50 key contributions to provide a comprehensive survey in this field, covers the main aspects of coverless image steganography research: the fundamental frameworks, preprocessing, feature extraction, generation of hash sequence and mapping relationships. The existing methods are evaluated and the prospect of future work is also summarized.

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A novel coverless information hiding method based on the average pixel value of the sub-images

Cited by 74 publications

References 19 publications

Preference Preserved Privacy Protection Scheme for Smart Home Network System Based on Information Hiding

Preference Preserved Privacy Protection Scheme for Smart Home Network System Based on Information Hiding

Coverless VoIP Steganography Using Hash and Hash

Coverless Image Steganography: A Survey

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