Coverless Image Steganography: A Survey

Qin, Jiaohua; Luo, Yuanjing; Xiang, Xuyu; Tan, Yun; Huang, Huajun

doi:10.1109/access.2019.2955452

Cited by 86 publications

(28 citation statements)

References 43 publications

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“…Coverless information hiding technology can not mean it does not need carriers. Compared with traditional information hiding technology, it is directly driven by "secret information" to "generate/obtain" stego carriers [21]. [22] proposed a coverless information hiding method based on the image bag-of-words (BOW) model [23].…”

Section: Related Workmentioning

confidence: 99%

A Novel Coverless Information Hiding Method Based on the Most Significant Bit of the Cover Image

2020

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With the rapid development of information technology recently, information security has become the focus of public concern. Information Hiding (IH) technology is an effective method to tackle the problem of information leakage incidents. In this paper, a novel coverless information hiding method based on the Most Significant Bit (MSB) of cover image is proposed (CIHMSB). Firstly, the cover image is segmented into a number of fragments. Secondly, in order to use the MSB of cover image to represent the secret information, the average intensity of each fragment is calculated. Thirdly, a one-to-one mapping between the MSB of the image fragment and the secret information is established using the mapping sequence (denote as Km), decided by the sender and the receiver in advance. This process produces a mapping flag (denote as Kf), which is sent by the sender along with the stego image. The objective of the proposed work is to increase hiding capacity, curtail the distortion of the stego image to improve its quality and reduce the Bit Error Rate (BER) of stego image in the case of distortion. Experimental results show that the proposed method can conceal 2601 bits secret information per carrier with peak signal-tonoise ratio (P SN R) of ∞ dB. What's more, some stego image quality assessment parameters, such as structural similarity (SSIM) index and universal image quality index (Qi), are slightly better than existing information hiding methods. Furthermore, the proposed method has good performance against such as AGWN, salt & pepper noise, low-pass filtering and JPEG compression attacks.

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Section: Related Workmentioning

confidence: 99%

A Novel Coverless Information Hiding Method Based on the Most Significant Bit of the Cover Image

2020

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“…As can be seen from Table 2, our capacity, which is maintained at an appropriate level and obtained by robustness experiments in Section 4.2, is consistent with PIX-CIS and BOF-CIS. HASH-CIS has the maximum capacity, but it requires at least 2 18 images which is not realistic. DWT-CIS is consistent with DCT-CIS, and they both can adjust the capacity according to the situation.…”

Section: Analysis Of Capacitymentioning

confidence: 99%

“…[16], Liu et al [17] use a preselection scheme based on DenseNet feature selected images and robust hash sequence generated by DWT transform, which effectively improves robustness and security. Then, Qin et al [18] publish a survey of coverless information hiding to summarize the existing methods of CIS. Meanwhile, Zhou et al [19] used a set of appropriate similar blocks of a given secret image as steganographic images to transmit the hidden image.…”

Section: Introductionmentioning

confidence: 99%

Coverless image steganography based on DenseNet feature mapping

Liu

Xiang

Qin

et al. 2020

J Image Video Proc.

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Since the concept of coverless information hiding was proposed, it has been greatly developed due to its effectiveness of resisting the steganographic tools. Most existing coverless image steganography (CIS) methods achieve excellent robustness under non-geometric attacks. However, they do not perform well under some geometric attacks. Towards this goal, a CIS algorithm based on DenseNet feature mapping is proposed. Deep learning is introduced to extract high-dimensional CNN features which are mapped into hash sequences. For the sender, a binary tree hash index is built to accelerate index speed of searching hidden information and DenseNet hash sequence, and then, all matched images are sent. For the receiver, the secret information can be recovered successfully by calculating the DenseNet hash sequence of the cover image. During the whole steganography process, the cover images remain unchanged. Experimental results and analysis show that the proposed scheme has better robust compared with the state-of-the-art methods under geometric attacks.

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“…As for information hiding, this paper proposes a novel coverless information hiding technology [26], named the Top Three Most Significant Bit plan (TTMSB) information hiding method. It uses double keys to map the secret information with the top three bits of the cover image fragment average pixel, so as to realize the secret information hiding.…”

Section: A Data Classificationmentioning

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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Coverless Image Steganography: A Survey

Cited by 86 publications

References 43 publications

A Novel Coverless Information Hiding Method Based on the Most Significant Bit of the Cover Image

A Novel Coverless Information Hiding Method Based on the Most Significant Bit of the Cover Image

Coverless image steganography based on DenseNet feature mapping

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

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