A new image encryption based on bit replacing, chaos and DNA coding techniques

Yousif, Sura F.; Abboud, Ali J.; Alhumaima, Raad S.

doi:10.1007/s11042-022-12762-x

Cited by 53 publications

(6 citation statements)

References 57 publications

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“…Suppose attackers or any naked eye suspects the technique used in the proposed algorithm which is LSB and some improved technique of steganalysis. Then attacker can’t extract the actual contents of the secret message because the proposed method used Huffman code 64 , 65 , MLE 66 , Magic matrix 67 , 68 , and HSI (achromatic components of an image) 69 . If an attacker extracts the message up to some limits then the contents are useless, because, for extraction of the full message text, attackers need to use Huffman code, MLE, etc.…”

Section: Resultsmentioning

confidence: 99%

A Huffman code LSB based image steganography technique using multi-level encryption and achromatic component of an image

Rahman,

Uddin,

Hussain

et al. 2023

Sci Rep

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In the recent couple of years, due to the accelerated popularity of the internet, various organizations such as government offices, military, private companies, etc. use different transferring methods for exchanging their information. The Internet has various benefits and some demerits, but the primary bad mark is security of information transmission over an unreliable network, and widely uses of images. So, Steganography is the state of the art of implanting a message in the cover objects, that nobody can suspect or identify it. Therefore, in the field of cover steganography, it is very critical to track down a mechanism for concealing data by utilizing different blends of compression strategies. Amplifying the payload limit, and robustness, and working on the visual quality are the vital factors of this research to make a reliable mechanism. Different cover steganography research strategies have been recommended, and each adores its benefits and impediments but there is a need to foster some better cover steganography implements to accomplish dependability between the essential model of cover steganography. To handle these issues, in this paper we proposed a method in view of Huffman code, Least Significant Bits (LSB) based cover steganography utilizing Multi-Level Encryption (MLE) and colorless part (HC-LSBIS-MLE-AC) of the picture. It also used different substitution and flicking concepts, MLE, Magic matrix, and achromatic concepts for proving the proficiency, and significance of the method. The algorithm was also statistically investigated based on some Statistical Assessment Metrics (SAM) such as Mean Square Error (MSE), Peak Signal Noise Ratio (PSNR), Normalized Cross Correlation (NCC), Structural Similarity Index Metric (SSIM), etc. and different perspectives. The observational outcomes show the likelihood of the proposed algorithm and the capacity to give unwavering quality between security, payload, perception, computation, and temper protection.

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Section: Resultsmentioning

confidence: 99%

A Huffman code LSB based image steganography technique using multi-level encryption and achromatic component of an image

Rahman,

Uddin,

Hussain

et al. 2023

Sci Rep

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“…The Alpha blending ( 9) is written as: 𝑊𝑎𝑡𝑒𝑟𝑚𝑎𝑟𝑘𝑒𝑑 𝐼𝑚𝑎𝑔𝑒 = (1 − 𝛼)𝐿𝐿 𝑐𝑜𝑣𝑒𝑟 + 𝛼𝐿𝐿 𝑠𝑒𝑐𝑟𝑒𝑡 (9) Where, α is a constant value that varies from 0 to 1 LLCover is the LL band coefficients of the cover image LLSecret is the LL band coefficients of the secret image Figure 4 shows the hardware architecture of the Alpha Blending technique. To get the optimized hardware utilizations efficient Koggy-Stone Adder/Subtractor [25] and Vedic multiplier [26] are used. To synchronize the watermarked data with the clk signal the D Flip Flop (DFF) is used.…”

Section: Bgaussian Filtermentioning

confidence: 99%

9/7 LIFT Reconfigurable Architecture Implementation for Image Authentication

Marakumbi,

Bhairannawar

2023

IJRITCC

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Considering the information system medical images are the most sensitive and critical types of data. Transferring medical images over the internet requires the use of authentication algorithms that are resistant to attacks. Another aspect is confidentiality for secure storage and transfer of medical images. The proposed study presents an embedding technique to improve the security of medical images. As a part of preprocessing that involves removing the high-frequency components, Gaussian filters are used. To get LL band features CDF9/7 wavelet is employed. In a similar way, for the cover image, the LL band features are obtained. In order to get the 1st level of encryption the technique of alpha blending is used. It combines the LL band features of the secret image and cover images whereas LH, HL, and HH bands are applied to Inverse CDF 9/7. The resulting encrypted image along with the key obtained through LH, HL, and HH bands is transferred. The produced key adds an extra layer of protection, and similarly, the receiver does the reverse action to acquire the original secret image. The PSNR acquired from the suggested technique is compared to PSNR obtained from existing techniques to validate the results. Performance is quantified in terms of PSNR. A Spartan 6 FPGA board is used to synthesize the complete architecture in order to compare hardware consumption.

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“…Therefore, the diffusion stage is required to change the pixel value to improve the security performance. The commonly used diffusion methods are the exclusive OR (XOR) operation [32][33][34], modulus operation [26,35,36], DNA/RNA operation [28,37,38], bit plane operation [39][40][41], etc. Teng, et al combined the XOR operation with the index scrambling to obtain desirable encryption effect [32].…”

Section: Introductionmentioning

confidence: 99%

Image encryption algorithm based on the Matryoshka transform and modular-inverse matrix

Zhang

2023

Preprint

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The transmission of digital image in Internet is convenient, but at the same time the great risk of information leakage is existed. To meet the requirements of image content security and real-time communication, we propose an image encryption algorithm based on the Matryoshka transform and modular-inverse matrix. Firstly, a new Matryoshka transform is designed to scramble the original image; secondly, the global chaotic exclusive or operation is performed on the scrambled image, and the diffused result is converted into an image block set; thirdly, the chaotic sequence is used to generate a set of modular odd matrix, and the set of the modular-inverse matrix is calculated; finally, the matrix operation of modular multiplication is performed on the image block set and the modular-inverse matrix set to generate the encrypted image. Meanwhile, the sender passes the secret keys to the recipient using Diffie-Hellman over the elliptic curve. Experimental results and algorithm analyses show that the proposed algorithm has the excellent encryption effect and the strong ability to resist common attacks. Therefore, the proposed algorithm can be applied to the image transmission under the network platform with strong security, desirable encryption effect and high efficiency.

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A new image encryption based on bit replacing, chaos and DNA coding techniques

Cited by 53 publications

References 57 publications

A Huffman code LSB based image steganography technique using multi-level encryption and achromatic component of an image

A Huffman code LSB based image steganography technique using multi-level encryption and achromatic component of an image

9/7 LIFT Reconfigurable Architecture Implementation for Image Authentication

Image encryption algorithm based on the Matryoshka transform and modular-inverse matrix

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