Image steganography using least significant bit and secret map techniques

Alabaichi, Ashwaq; Al-Dabbas, Maisa'a Abid Ali K.; Salih, Adnan Ibrahem

doi:10.11591/ijece.v10i1.pp935-946

Cited by 49 publications

(46 citation statements)

References 20 publications

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“…In [25], the proposed technique embeds English text into the wave audio using tone insertion method, which generates two frequency f1 and f2 and inserts them into an audio file in a suitable power level according to the specific stego-table. In [26] steganography of image is suggested using LSB and secret map techniques. The study is based on the principle of random insertion and the select of a pixel from a host image.…”

Section: Introductionmentioning

confidence: 99%

Hiding text in speech signal using K-means, LSB techniques and chaotic maps

Abduljaleel

Khaleel²

2020

IJECE

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In this paper, a new technique that hides a secret text inside a speech signal without any apparent noise is presented. The technique for encoding the secret text is through first scrambling the text using Chaotic Map, then encoding the scraped text using the Zaslavsky map, and finally hiding the text by breaking the speech signal into blocks and using only half of each block with the LSB, K-means algorithms. The measures (SNR, PSNR, Correlation, SSIM, and MSE) are used on various speech files (“.WAV”), and various secret texts. We observed that the suggested technique offers high security (SNR, PSNR, Correlation, and SSIM) of an encrypted text with low error (MSE). This indicates that the noise level in the speech signal is very low and the speech purity is high, so the suggested method is effective for embedding encrypted text into speech files.

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Section: Introductionmentioning

confidence: 99%

Hiding text in speech signal using K-means, LSB techniques and chaotic maps

Abduljaleel

Khaleel²

2020

IJECE

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“…This comparison produces an evaluation of the average minimum no. of bits that are needed to encode a sequence of bits based on the frequency of the symbol [17].…”

Section: =mentioning

confidence: 99%

An Improved Method for Combine (LSB and MSB) Based on Color Image RGB

Mahdi¹

2021

ETJ

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Image steganography is the art of hiding data into an image by using the secret key. This paper presents two techniques that combine the most significant bit (MSB) as well as the least significant bit (LSB) based on a color image (24bit for RGB). The presented study proposes a novel method to combine (LSB and MSB) bits based on check MSB values and replace bits from LSB with a secret message. The result of this proposed method that made not affect quality stego -image based on the resulting histogram that shows a match between the cover image and stego- image and more secure because not hidden in all image. The factors were used Mean Square Error (MSE), Compute Payload, in addition to Peak Signal to Noise Ratio (PSNR). The PSNR’s rate is high and MSE is less. The result of this paper when applying on the different image gives high PSNR of 87.141 and less MSE of 0.00012 when inserting message 80 bits and reduction value PSNR of 72.023 and MSE of 0.0040 when inserting message 1200 bits and measure entropy is the same value for cover image and stego –image then this method is more security for the attacker.

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“…The results are presented in Figures 8 and 9. The results show that both algorithms have a uniform histogram [21,29,30]. Figure 8.…”

Section: Histogrammentioning

confidence: 99%

Enhancing advance encryption standard security based on dual dynamic XOR table and MixColumns transformation

Salih

Alabaichi

Tuama

2020

IJEECS

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An efficient approach to secure information is critically needed at present. Cryptography remains the best approach to achieve security. On this basis, the National Institute of Standards and Technology (NIST) selected Rijndael, which is a symmetric block cipher, as the advanced encryption standard (AES). The MixColumns transformation of this cipher is the most important function within the linear unit and the major source of diffusion. Dynamic MixColumns transformation can be used to enhance the AES security. In this study, a method to enhance the AES security is developed on the basis of two methods. The first method is an extension of a previous study entitled “A novel Approach for Enhancing Security of Advance Encryption Standard using Private XOR Table and 3D chaotic regarding to Software quality Factor.” In the current study, the fixed XOR operation in AES rounds is replaced with a dual dynamic XOR table by using a 3D chaotic map. The dual dynamic XOR table is based on 4 bits; one is used for even rounds, and the other is used for odd rounds. The second method is dynamic MixColumns transformation, where the maximum distance separable (MDS) matrix of the MixColumns transformation, which is fixed and public in every round, is changed with a dynamic MDS matrix, which is private, by using a 3D chaotic map. A 3D chaotic map is used to generate secret keys. These replacements enhance the AES security, particularly the resistance against attacks. Diehard and NIST tests, entropy, correlation coefficient, and histogram are used for security analysis of the proposed method. C++ is used to implement the proposed and original algorithms. MATLAB and LINX are used for the security analysis. Results show that the proposed method is better than the original AES.

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Image steganography using least significant bit and secret map techniques

Cited by 49 publications

References 20 publications

Hiding text in speech signal using K-means, LSB techniques and chaotic maps

Hiding text in speech signal using K-means, LSB techniques and chaotic maps

An Improved Method for Combine (LSB and MSB) Based on Color Image RGB

Enhancing advance encryption standard security based on dual dynamic XOR table and MixColumns transformation

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