Robust large image steganography using LSB algorithm and 5D hyper-chaotic system

Shehab, Jinan N.; Abdulkadhim, Hussein A.; Al-Tameemi, Taqwa F.H.

doi:10.11591/eei.v10i2.2747

Cited by 6 publications

(8 citation statements)

References 17 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The technique in [3] support and improve the information security methods with more capacity and faster transmission.…”

Section: Literature Reviewmentioning

confidence: 99%

“…According to Fig. 3, the secret message pixels is inserted in the following order: (3,3,2). Each pixel in secret image is inserted in the LSB of the cover image (RGB) as shown in z, where z is the position of the LSB bit for each pixel.…”

Section: Bhash-lsb Steganographymentioning

confidence: 99%

“…One such method is cryptography which the technique of transforming identifiable initial data to obvious nonsense. The other is Steganographic technique, where the information is embedded into any audiovisual material, such as an audio, image, or video so that, Just the intended destination distinguishes the message content [1] The two chief regions that aim to protect and hide data are cryptography and steganography [2].They are significant methods to offer secrecy and guard information sensitivity [3]. Cryptography method is securing the secret message when it is moved from one place to another through the networks.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

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

2023

IJSER

View full text Add to dashboard Cite

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.

show abstract

“…The technique in [3] support and improve the information security methods with more capacity and faster transmission.…”

Section: Literature Reviewmentioning

confidence: 99%

Section: Bhash-lsb Steganographymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

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

2023

IJSER

View full text Add to dashboard Cite

show abstract

“…Although video steganography bear the large size of the message [1], [18], [48], [54]- [57], [65]- [69], [20], [70]- [77], [22], [23], [33], [34], [44], [45], [47]. But it is necessary the algorithm selects the best bits to embed the information on it [11], [23], [47], [59], [69], [76], [80], [81].…”

Section: Related Workmentioning

confidence: 99%

Video steganography using 3D distance calculator based on YCbCr color components

Baker

Majeed

Alazawi

et al. 2021

IJEECS

View full text Add to dashboard Cite

Steganography techniques have taken a major role in the development in the field of transferring multimedia contents and communications. Therefore, field of steganography become interested as the need for security increased significantly. Steganography is a technique to hide information within cover media so that this media does not change significantly. Steganography process in a video is to hide the information from the intruder and prevent him access to that hidden information. This paper presents the algorithm of steganography in the video frames. The proposed algorithm selected the best frames to hide the message in video using 3D distance equation to increasing difficulty onto the intruder to detect and guess the location of the message in the video frames. As well as selected the best frames in this algorithm increased the difficulty and give us the best stego-video quality using structural similarity (SSIM). Also, the hash function was used to generate random positions to hide the message in the lines of video frames. The proposed algorithm evaluated with mean squared error (MSE), peak signalto-noise ratio (PSNR) and SSIM measurement. The results were acceptable and shows that is the difficulty of distinguishing the hidden message in stego-video with the human eye.

show abstract

“…In the receiver side, the reconstruction process and extraction secret audio will be opposite to the process in the sender. However, contribution of this work represents one of the series started by the authors works explained previously in [2], [4], [23] to develop image/audio steganographic techniques. Additionally, the present work will solve the security task of the stego-audio with high sensitivity, as well as the selection of cover media, length, format.…”

Section: Introductionmentioning

confidence: 99%

Audio steganography based on least significant bits algorithm with 4D grid multi-wing hyper-chaotic system

Abdulkadhim

Shehab

2022

IJECE

View full text Add to dashboard Cite

Although variety in hiding methods used to protect data and information transmitted via channels but still need more robustness and difficulty to improve protection level of the secret messages from hacking or attacking. Moreover, hiding several medias in one media to reduce the transmission time and band of channel is the important task and define as a gain channel. This calls to find other ways to be more complexity in detecting the secret message. Therefore, this paper proposes cryptography/steganography method to hide an audio/voice message (secret message) in two different cover medias: audio and video. This method is use least significant bits (LSB) algorithm combined with 4D grid multi-wing hyper-chaotic (GMWH) system. Shuffling of an audio using key generated by GMWH system and then hiding message using LSB algorithm will provide more difficulty of extracting the original audio by hackers or attackers. According to analyses of obtained results in the receiver using peak signal-to-noise ratio (PSNR)/mean square error (MSE) and sensitivity of encryption key, the proposed method has more security level and robustness. Finally, this work will provide extra security to the mixture base of crypto-steganographic methods.

show abstract

Robust large image steganography using LSB algorithm and 5D hyper-chaotic system

Cited by 6 publications

References 17 publications

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

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

Video steganography using 3D distance calculator based on YCbCr color components

Audio steganography based on least significant bits algorithm with 4D grid multi-wing hyper-chaotic system

Contact Info

Product

Resources

About