A Modified Hash Based Least Significant Bits Algorithm for Steganography

Muyco, Stella D.; Hernandez, Alexander A.

doi:10.1145/3335484.3335514

Cited by 9 publications

(3 citation statements)

References 11 publications

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“…The quality of the steganography method employed will be higher if, in accordance with the principle of good steganography, the embedded message becomes less evident in the carrier media or if there are minimal or nonexistent changes in pixel values [33], [34].…”

Section: ) Message Insertion Algoritmmentioning

confidence: 99%

A New Approach of Steganography on Image Metadata

Fernando,

Darwis,

Mehta

et al. 2024

JOIV : Int. J. Inform. Visualization

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In this paper, we introduce a novel method, Steganography on Image Metadata (SIM), to tackle the problem of robustness modification in steganography. The SIM method works by embedding messages into the metadata storage space of digital media. Metadata is information embedded in a file that explains the file's content. The advantage of this method is that it does not alter the pixel values in the image, ensuring no degradation in media quality, and the secret message remains secure even when robustness manipulations are applied to the stego-image. To enhance data security, this paper also suggests using Fernet cryptography for message encryption during the embedding process into the cover-image. According to experimental evaluations, the SIM technique can attain a maximum PSNR value of 100 dB and an outstanding MSE value of 0. All robustness manipulation issues in steganography can be effectively addressed using the SIM method. Test results demonstrate that the SIM method can withstand symmetric and asymmetric cropping manipulations down to a pixel size of 1x1, and the message can still be extracted. Testing with image rotation manipulation also proves that the message can be successfully extracted even when the stego-image is rotated up to 180 degrees. Experiments with image resizing manipulation also confirm that the message can be recovered even when the stego-image undergoes up to 90% compression. Testing with color effects applied to the image also does not affect message extraction results.

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Section: ) Message Insertion Algoritmmentioning

confidence: 99%

A New Approach of Steganography on Image Metadata

Fernando,

Darwis,

Mehta

et al. 2024

JOIV : Int. J. Inform. Visualization

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“…Muyco and team [21] executed encryption and decryption operations on images using a refined hashing technique, and subsequently applied an improved version of the LSB method to obtain enhanced steganography outcomes. Shwe Sin and colleagues [28] introduced a steganography approach that integrates the Least Significant Bit (LSB) technique with Huffman coding.…”

Section: Steganographymentioning

confidence: 99%

Embedding secrets in pixels: two-level security through DNA encryption and LSB image steganography

Benyahia,

Khobzaoui,

Benbakreti

2024

Braz. J. Technol.

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Transmitting information via a public channel without unauthorized interception is a major concern that leads to the idea of hiding information using cryptographic techniques or obscuring it in a media using steganography algorithms. This article proposes a two-level security image steganography method, (i) using a DNA sequence, the message to be sent is encrypted, (ii) by applying the least significant bits (LSB) technique, this encrypted message is hidden in an image. This combination of DNA-based cryptography and steganography provides two levels of security that ensures confidential transmission, as demonstrated by the experiments conducted.

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“…to advance a video steganography mechanism [17] uses 2D chaotic map and NLFSR, where the separated frames will contain embedded data. ISSN: 2710-2165 http://doi.org/10.33193/IJSER.2.1.2022.53 https://ijser.aliraqia.edu.iq By means of the hash value in image, the study in [18] targets to demonstrate a hash based LSB method where results are secured by using EXIF data through employing cryptography and steganography. [19] proposes a combination of the Rivest Code 4 (RC4), Least Significant Bit (LSB)-Blowfish because it can offer layered security on confidential data.…”

Section: Literature Reviewmentioning

confidence: 99%

High Security Image Cryptographic Algorithm Using Chaotic Encryption Algorithm with Hash-LSB Steganography

2023

IJSER

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In the latest, digital images are frequently used for storage, communication, medical imaging, etc. Such images possibly involve private data, which accordingly handed an important role to information security. Image encryption and steganography are two widely used techniques for providing information security. Cryptography is the technique of protecting information by encryption and decryption. In steganography, the message is inserted in an image with changes entitled a cover image. The principal purpose of the study is to improve the current secure data communication techniques, by combining cryptography with steganography. Steganography and cryptography are two examples of the multiple methods used to guarantee secrecy and privacy throughout data communication. The suggested approach achieves encryption and decryption utilizing chaotic encryption technique and employing hashleast significant bit (HLSB) as steganography which is a significant method of embedding data bits in LSB bits of RGB pixels of the cover image. The suggested image encryption method is validated by experimental results to be highly secure and resistant to a variety of attacks. Additionally, compared to several conventional picture encryption techniques, it offers higher performance. Peak signal-to-noise ratio (PSNR) and mean square error (MSE)calculations are used to provide security evaluations. PSNR is infinite and MSE is 0 for a secret image. PSNR and MSE for the cover image are 65 and 0.02 dB respectively. The results of this research reveal a high level of similarities between stego and cover images, and between recovered and secret images, as seen in the histogram analysis of secret images. These techniques are accomplished effectively by using the MATLAB program.

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A Modified Hash Based Least Significant Bits Algorithm for Steganography

Cited by 9 publications

References 11 publications

A New Approach of Steganography on Image Metadata

A New Approach of Steganography on Image Metadata

Embedding secrets in pixels: two-level security through DNA encryption and LSB image steganography

High Security Image Cryptographic Algorithm Using Chaotic Encryption Algorithm with Hash-LSB Steganography

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