A new approach for LSB based image steganography using secret key

Karim, Shuaib; Rahman, Md. Saifur; Hossain, Md. Ismail

doi:10.1109/iccitechn.2011.6164800

Cited by 105 publications

(15 citation statements)

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“…We used the HSV space because it is more suitable for our methods than the HSI and HSL models, as verified in the experiments. Both of the techniques proposed outperformed the embedding capability of the methods in [12, 15, 18, 20] as well as the LSB(S) and LSB(V) methods with high image quality. These existing competing methods are either in RGB, HSI, HSV or YCbCr colour spaces.…”

Section: Discussionmentioning

confidence: 99%

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Improving data hiding within colour images using hue component of HSV colour space

Hassan

Gutub

2021

CAAI Trans on Intel Tech

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Data hiding technologies aim to hide the existence of secret information within digital covers such as images by causing unnoticeable degradation to their quality. Reducing the image distortion and increasing the embedding capacity are the main points that the data hiding techniques revolved around. This article proposes two high payload embedding methods with high stego image quality using the Hue-Saturation-Value (HSV) colour model. The first method is hue-based embedding (HBE) that employs the H plane for hiding one or two bits in non-grey pixels. The second method uses the three HSV components, so it is called three-planes embedding (TPE). In TPE, one bit is hidden in the least significant bit (LSB) of V of the grey pixels, one or two bits in H of the pixels having low saturation or low brightness and one bit in the LSB of S otherwise. The experiments were conducted on 25 images and the results show that HBE hides more data on average than TPE with its quality reaching 60 dB. TPE achieves quality up to 61 dB and capacity reaches 364 Kb. TPE scores the highest capacity among six state-ofthe-art techniques in Red-Green-Blue, HSV, Hue-Saturation-Intensity and YCbCr spaces with the highest average peak signal to noise ratio midst five of them. By embedding 60, 90, and 120 Kb, this TPE attains the best average quality amid all the methods.This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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Section: Discussionmentioning

confidence: 99%

“…We implemented the two proposed techniques as well as the following six existing methods: Karim et al. [12], simple LSB substitution in the S plane of the HSV model (LSB[S]) and simple LSB substitution in the V plane (LSB[V]), Muhammad et al. [18], HSV‐MLSB [15] and Alwan et al.…”

Section: Comparisons and Analysismentioning

confidence: 99%

Improving data hiding within colour images using hue component of HSV colour space

Hassan

Gutub

2021

CAAI Trans on Intel Tech

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“…Images that can be used are 1 bit (Binary), 3 bits (Grayscale) and 24 bits (colors). LSB must have an imperceptibility value [19], the image can reach the limits of the Human Visual System (HVS) which is above 40 dB.…”

Section: Least Significant Bit (Lsb)mentioning

confidence: 99%

A Combination of Hill CIPHER-LSB in RGB Image Encryption

Megantara

Rafrastara

Mahendra

2019

KINETIK

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The progress of the development of digital technology today, many people communicate by sending and receiving messages. However, along with extensive technological developments, many crimes were committed. In avoiding these crimes, data security needs to be done. Form of data security in the form of cryptography and steganography. One of the cryptographic techniques is the hill cipher algorithm. Hill ciphers include classic cryptographic algorithms that are very difficult to solve. While the most popular steganography technique is Least Significant Bit (LSB). Least Significant Bit (LSB) is a spatial domain steganography technique using substitution methods. This study discusses the merging of message security with hill cipher and LSB. The message used is 24-bit color image for steganography and text with 32, 64 and 128 characters for cryptography. The measuring instruments used in this study are MSE, PSNR, Entropy and travel time (CPU time). Test results prove an increase in security without too damaging the image. This is evidenced by the results of the MSE trial which has a value far below the value 1, the PSNR is> 64 db, the entropy value ranges from 5 to 7 and the results of travel time <1 second.

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“…The most relevant steganographic techniques are presented below. Karim et al (2011) have suggested an improved-LSB technique for color images to enhance the security level of the secret message by using a secret key. The methodology is to divide the cover image into three matrices (Red, Green and Blue).…”

Section: Related Workmentioning

confidence: 99%

Information Hiding using Chaotic-Address Steganography

Kadhim

Hussain

2018

Journal of Computer Science

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In this study, two techniques are introduced for image steganography in the spatial domain. These systems employ chaos theory to track the addresses of shuffled bits in steganography. The first system is based on the well-known LSB technique, while the second system is based on a recent approach that searches for the identical bits between the secret message and the cover image. A modified logistic map is employed in the chaotic map to generate integer chaotic series to extract the shuffled addresses bits. Peak Signal-to-Noise Ratio (PSNR), Mean Square Error (MSE), histogram analysis and correlative analysis are used for testing and evaluating the new levels of security for the proposed techniques. The results show that the proposed methods outperform existing systems.

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A new approach for LSB based image steganography using secret key

Cited by 105 publications

References 1 publication

Improving data hiding within colour images using hue component of HSV colour space

Improving data hiding within colour images using hue component of HSV colour space

A Combination of Hill CIPHER-LSB in RGB Image Encryption

Information Hiding using Chaotic-Address Steganography

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