Segment Compression Steganographic Algorithm

Stanescu, Daniela; Bucur, Ioan-Gabriel; Stratulat, Mircea

doi:10.1109/icccyb.2010.5491251

Cited by 2 publications

(3 citation statements)

References 9 publications

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“…A number of experimental tests were conducted in order to validate the proposed CPSM model from an empirical perspective. The Segment Compression Steganographic Algorithm (SCSA) proposed in [37] was used for the experimental testing. SCSA is based on the Karhunen-Loève Transform (KLT) that is widely considered to achieve optimal signal processing for data representation, compression and analysis.…”

Section: Experimental Validation Of Cpsmmentioning

confidence: 99%

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Cover Processing-based Steganographic Model with Improved Security

2019

APH

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Steganography uses specialised techniques to conceal messages in different cover objects such as image or video so that only the sender and receiver know of the message's existence and are able to decipher it. Previous research conducted in the area has mainly focused on steganography and steganalysis techniques. This paper proposes a new model for steganography called Cover Processing-based Steganographic Model (CPSM) that processes the cover objects and transmits them in a way to improve the security of steganographic objects. A comprehensive demonstration based on information theory proves that CPSM provides improved security in terms of lower relative entropy as compared to previous models from the literature. Moreover, experimental tests show a decrease of the relative error between the cover and steganographic objects of up to 14%.

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Section: Experimental Validation Of Cpsmmentioning

confidence: 99%

“…SCSA is based on the Karhunen-Loève Transform (KLT) that is widely considered to achieve optimal signal processing for data representation, compression and analysis. A detailed description of the algorithm can be found in [37].…”

Section: Experimental Validation Of Cpsmmentioning

confidence: 99%

Cover Processing-based Steganographic Model with Improved Security

2019

APH

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“…The hiding time is 7.41073 seconds as the image size was larger and recovery time is 2.59556 seconds. compression rate is poor for less segmented images, implying that compressed message will not "fit" inside the carrier [13]. Fig.8 shows plot of segment size vs. compression time.…”

Section: Fig5: Set 3 Imagesmentioning

confidence: 99%

Image Steganography using Karhunen-Loève Transform and Least Bit Substitution

Chadha¹,

Satam²,

Sood³

et al. 2013

IJCA

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As communication channels are increasing in number, reliability of faithful communication is reducing. Hacking and tempering of data are two major issues for which security should be provided by channel. This raises the importance of steganography. In this paper, a novel method to encode the message information inside a carrier image has been described. It uses Karhunen-Loève Transform for compression of data and Least Bit Substitution for data encryption. Compression removes redundancy and thus also provides encoding to a level. It is taken further by means of Least Bit Substitution. The algorithm used for this purpose uses pixel matrix which serves as a best tool to work on. Three different sets of images were used with three different numbers of bits to be substituted by message information. The experimental results show that algorithm is time efficient and provides high data capacity. Further, it can decrypt the original data effectively. Parameters such as carrier error and message error were calculated for each set and were compared for performance analysis.

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Segment Compression Steganographic Algorithm

Cited by 2 publications

References 9 publications

Cover Processing-based Steganographic Model with Improved Security

Cover Processing-based Steganographic Model with Improved Security

Image Steganography using Karhunen-Loève Transform and Least Bit Substitution

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