Stego key searching for LSB steganography on JPEG decompressed image

Liu, Jiufen; Tian, Yan; Wang, Junchao; Luo, Xiangyang

doi:10.1007/s11432-015-5367-x

Cited by 19 publications

(17 citation statements)

References 10 publications

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“…As the steganography techniques could be maliciously used for stealing confidential information, it is practically significant to carry on researches to forensics of the crime. For decades, researchers have proposed many techniques for the forensics of steganography, including the stego detection [2][3][4][5][6][7][8][9][10], the payload location [11][12][13][14][15], the embedding key restore [16,17], the secret message extraction [17], and the steganographer detection [18][19][20]. In practice, the covert communication entity on the Internet usually acts as the user of social platforms, whose location is virtual.…”

Section: Introductionmentioning

confidence: 99%

Geolocation of covert communication entity on the Internet for post-steganalysis

Zhang

Liu

Luo

2020

J Image Video Proc.

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Geolocation of covert communication entity is significantly important for the forensics of the crime but has significant challenges when the steganalyst locks the guilty actor IP and wants to know the physical location of the actor. This kind of post-steganalysis involves not only the stegos transmitted on the Internet but the IP package head and content. This paper presents a geolocation method for the location of the covert communication entity based on hophot path coding. The method estimates the location of the covert communication entity by combining the path and delay between probes and the covert communication entity IP, which improves the deficiency that similar delays do not necessarily mean close geographical locations of the IPs. Moreover, the similarity between the IPs' paths can be measured by coding the paths between IPs and probes. The results of a series of experiments show that the median error of the proposed method is within 6.16 km using different thresholds.

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Section: Introductionmentioning

confidence: 99%

Geolocation of covert communication entity on the Internet for post-steganalysis

Zhang

Liu

Luo

2020

J Image Video Proc.

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“…For example, when there are only 10 stego images embedded by JSteg along the same path, the best CSW-JSteg algorithm can only locate the stego position with an accuracy of 55.67%, which is close to that of random guessing. In order to test the applicability of the location results, this section applied the location result to the collision attack algorithm proposed in formula, 12 as follows:…”

Section: Applicability Of Payload Location Resultsmentioning

confidence: 99%

“…Under certain specific conditions, these algorithms have been used to estimate groups in group parity steganography, 30 determine the stego pixel order in random steganography, 31 and even restore the stego key and extract the hidden message. 12,29 However, these algorithms are only suitable for spatial LSB replacement, LSB matching, and MLSB replacement steganography.…”

Section: Introductionmentioning

confidence: 99%

Payload location for JPEG image steganography based on co-frequency sub-image filtering

Wang

Yang

Wang

et al. 2020

International Journal of Distributed Sensor Networks

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In digital steganography, due to difficulties estimating the JPEG cover image, it is still very hard to accurately locate the hidden message embedded in a JPEG image. Therefore, this study proposes a payload location method for a category of pseudo-random scrambled JPEG image steganography. In order to estimate the quantized discrete cosine transform coefficients in the cover JPEG image, a cover JPEG image estimation method is proposed based on co-frequency sub-image filtering. The proposed payload location method defines a general residual, uses the estimated cover JPEG image to compute the residuals, and then employs the mean residuals of multiple stego images embedded along the same path to distinguish the stego positions. The proposed cover JPEG image estimation method constructs 64 co-frequency sub-images, and then filters the sub-image to estimate the cover JPEG image. Finally, using these methods, payload location algorithms are designed for two common JPEG image steganography algorithms: JSteg and F5. Experimental results show that the proposed location algorithms can effectively locate the stego positions in both JSteg and F5 steganography when the investigator possesses multiple stego images embedded along the same path. In addition, the location results can also be used to recover the steganography key to extract the embedded secret messages.

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“…Other than this several universal steganalytic algorithms (Shi et al, 2005;Goljan et al, 2006) are also existing that can detect the LSBM with high accurate rate of detection. Liu et al (2016) defined the stego key searched and recovered model for the LSB steganography. On the other hand, comparison done with LSB, pixel value differencing, radix numeral based steganography has been proposed (Geetha et al, 2011).…”

Section: Impact Of High Dimensional Feature Space In Steganalysismentioning

confidence: 99%

Enhancing the JPEG Image Steganography Security by RSA and attaining High Payload using Advanced DCT Replacement and Modified Quantization Table

Hemalatha

Devi

Geetha

2019

IJBIDM

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Steganography deal with hiding information science, which offers an ultimate security in defence, profitable usages, thus sending the imperceptible information, will not be bare or distinguished by others. The aim of this paper is to propose a novel steganographic method in JPEG images to highly enrich a data security by RSA algorithm and attains higher payload by modified quantisation table. The goals of this paper are to be recognised through: 1) modify the quantisation table of the JPEG-JSTEG tool, hiding secret message with its middle frequency to offer great embedding capacity; 2) for challenge, secure RSA algorithm is used to prevent data from extraction. A broad experimental evaluation compares the performance of our proposed work with existing JSTEG was conducted. This algorithm resulted in greater PSNR values and steganogram histogram is more similar. Experimental results reported that the proposed system is a state-of-the model, contributing abundant payload and beating the statistical revealing. Besides, our method has better in all the parameters than JPEG-JSTEG method.

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Stego key searching for LSB steganography on JPEG decompressed image

Cited by 19 publications

References 10 publications

Geolocation of covert communication entity on the Internet for post-steganalysis

Geolocation of covert communication entity on the Internet for post-steganalysis

Payload location for JPEG image steganography based on co-frequency sub-image filtering

Enhancing the JPEG Image Steganography Security by RSA and attaining High Payload using Advanced DCT Replacement and Modified Quantization Table

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