A High Capacity Geometrical Domain Based 3D Image Steganography Scheme

Farrag, Sara; Alexan, Wassim

doi:10.1109/commnet.2019.8742346

Cited by 26 publications

(9 citation statements)

References 12 publications

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“…Consequently, these models can be utilized in steganography, acting as secure and innocent host media for sheltering covert data. In this paper, the Blowfish encryption algorithm is performed on confidential data for higher security [28,[35][36][37][38]. The work described in the related works fails to include the benefits of LSB and AES advantage.…”

Section: Related Workmentioning

confidence: 99%

Image Steganography Using LSB and Hybrid Encryption Algorithms

Alanzy,

Alomrani,

Alqarni

et al. 2023

Applied Sciences

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In today’s era of widespread web technology and cloud computing, ensuring data security has become a crucial concern across various industries. Instances of data breaches and vulnerabilities in cloud storage have emphasized the need for robust data protection and communication protocols, particularly in sectors like social media, military, and research. This research proposes a Multi-Level Steganography (MLS) algorithm that employs two encryption algorithms, AES and Blow-Fish, to secure the cover image and embed encryption keys as key images within the stego image. The proposed MLS algorithm incorporates a robust pixel randomization function to enhance the security of the encrypted data. Experimental results demonstrate that the proposed algorithm effectively protects data with high Peak Signal-to-Noise Ratio (PSNR) and low Mean Square Error (MSE) values, ensuring superior image quality, reliable encryption, and decryption of secret messages. The utilization of hybrid encryption with AES and BlowFish algorithms further strengthens the algorithm’s security by augmenting the complexity of the encryption process.

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Section: Related Workmentioning

confidence: 99%

Image Steganography Using LSB and Hybrid Encryption Algorithms

Alanzy,

Alomrani,

Alqarni

et al. 2023

Applied Sciences

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“…Triangle Mesh and Quad Mesh [13] 3D-object steganography can be utilized within one of three different domains, namely geometry, topology, and representation. 1) Geometry-based Steganography Domain: The geometrical components of 3D objects in this domain are utilized to conceal the messages.…”

Section: Figurementioning

confidence: 99%

“…Along this path, alterations are applied to the vertices by adjusting three coordinates within the Spherical Coordinate System (SCS). Also, in [23], a 3D-object steganography technique was proposed. This technique conceals the encrypted message in the polygons of the object.…”

Section: Related Workmentioning

confidence: 99%

Secured Gray-Code-Based Steganographic Technique in Geometrical-Based Domain

Alkhamese,

Elgawalby,

Hanafy

et al. 2023

IEEE Access

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The past decades witness a tremendous exchange in data and information in almost all domains. This leads to the need for applying data security to ensure information safety during communication. One of the main used technique is the steganography. Steganography is a technique that involves hiding information within objects, such as images, audio, video, and 3D objects, without leaving any noticeable alterations. We propose a 3D steganographic technique that increases security using Gray code sequence and a Least Significant Bit (LSB) technique. We construct the 64-binary representation for the 3D cover-object. A Gray code sequence is utilized to define the vertices that will be utilized for embedding the secret message. The binary representation of the secret message is to be hidden in the least significant bits of either the x-or the y-coordinates of the defined vertices. The least significant bits, are the last two bits in the binary representation of the vertex coordinates. Exploitation the binary representation, gives us the capability of increasing the data security, and the data capacity. The proposed steganographic technique has been evaluated through multiple evaluation metrics to assess its performance; including Mean Square Error Ratio (MSE), Peak Signal-to-Noise Ratio (PSNR), and Normalized Correlation (NC). Experimental results, show that the security level of the proposed technique is superior comparing to several existed techniques. Moreover, when testing against some common attacks such as the noise, the median, the Gaussian and the Laplacian filters; the results show the efficiency and the robustness of the proposed technique.

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“…In a steganographic scenario, the secret information is hidden in another object called the cover object to form the stego object, which can be saved and transmitted [2]. There are many types of steganography where different cover objects can be used including text [3], audio [4,5,6,7], video [8,9], 2D images [10,11], 3D images [12,13,14,15], as well as information matrices [16]. In audio steganography, the secret information is hidden in digital audio signals which results in a slight change in the cover audio, however this change is unrecognizable since audio steganography makes use of the psycho-acoustical masking phenomenon of the human auditory system (HAS) [17].…”

Section: Introductionmentioning

confidence: 99%