Block-Based High Capacity Multilevel Image Steganography

Kasana, Geeta; Singh, Kulbir; Bhatia, S. S.

doi:10.1142/s0218126616500912

Cited by 3 publications

(1 citation statement)

References 12 publications

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“…The encrypted data is embedded in the image by using the LSB technique. Kasana et al [22] proposed a block-based steganography approach. The Cover-Image is factorized into parts of equal size, and the largest pixel of each part is found to embed the secret data and the smallest pixel of each part is used for hiding, where hiding of secret data is performed using the multilevel approach.…”

Section: Related Workmentioning

confidence: 99%

Improved Deep Hiding/Extraction Algorithm to Enhance the Payload Capacity and Security Level of Hidden Information

Ahmad

El-Emam

AL-Azawi

2021

Int. j. commun. netw. inf. secur.

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Steganography algorithms have become a significant technique for preventing illegal users from obtaining secret data. In this paper, a deep hiding/extraction algorithm has been improved (IDHEA) to hide a secret message in colour images. The proposed algorithm has been applied to enhance the payload capacity and reduce the time complexity. Modified LSB (MLSB) is based on disseminating secret data randomly on a cover-image and has been proposed to replace a number of bits per byte (Nbpb), up to 4 bits, to increase payload capacity and make it difficult to access the hiding data. The number of levels of the IDHEA algorithm has been specified randomly; each level uses a colour image, and from one level to the next, the image size is expanded, where this algorithm starts with a small size of a cover-image and increases the size of the image gradually or suddenly at the next level, according to an enlargement ratio. Lossless image compression based on the run-length encoding algorithm and Gzip has been applied to enable the size of the data that is hiding at the next level, and data encryption using the Advanced Encryption Standard algorithm (AES) has been introduced at each level to enhance the security level. Thus, the effectiveness of the proposed IDHEA algorithm has been measured at the last level, and the performance of the proposed hiding algorithm has been checked by many statistical and visual measures in terms of the embedding capacity and imperceptibility. Comparisons between the proposed approach and previous work have been implemented; it appears that the intended approach is better than the previously modified LSB algorithms, and it works against visual and statistical attacks with excellent performance achieved by using the detection error (PE). Furthermore, the results confirmed that the stego-image with high imperceptibility has reached even a payload capacity that is large and replaces twelve bits per pixel (12-bpp). Moreover, testing is confirmed in that the proposed algorithm can embed secret data efficiently with better visual quality.

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Section: Related Workmentioning

confidence: 99%

Improved Deep Hiding/Extraction Algorithm to Enhance the Payload Capacity and Security Level of Hidden Information

Ahmad

El-Emam

AL-Azawi

2021

Int. j. commun. netw. inf. secur.

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Histogram based multilevel reversible data hiding scheme using simple and absolute difference images

Kukreja

Kasana

2018

Multimed Tools Appl

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Toward a Unified Performance Metric for Benchmarking Steganography Systems

Rabie

Baziyad

Bonny

et al. 2019

J CIRCUIT SYST COMP

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Recent advances in network speeds for exchanging multimedia data over insecure networks has resulted in an increased interest in steganography techniques. These techniques are usually evaluated based on their performance in three attributes; namely, capacity, imperceptibility, and robustness. Each of these attributes has its own measurement metric. Hence, comparing two different steganography schemes based on these individual metric tools becomes inconsistent. In this paper, a novel measurement metric tool is introduced for benchmarking steganography schemes. This new tool, named the “Combined Capacity-Quality-Robustness Effectiveness” (CCQRE) metric, combines the three opposing attributes of a steganography system into one conglomerate performance measure. Comparative results demonstrate the effectiveness of the proposed CCQRE metric for benchmarking various steganography schemes based on the researcher’s interest in capacity, imperceptibility, or robustness.

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Block-Based High Capacity Multilevel Image Steganography

Cited by 3 publications

References 12 publications

Improved Deep Hiding/Extraction Algorithm to Enhance the Payload Capacity and Security Level of Hidden Information

Improved Deep Hiding/Extraction Algorithm to Enhance the Payload Capacity and Security Level of Hidden Information

Histogram based multilevel reversible data hiding scheme using simple and absolute difference images

Toward a Unified Performance Metric for Benchmarking Steganography Systems

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