Hardware implementation of encryption image using Xilinx System Generator

Dridi, Manel; Hajjaji, Mohamed Ali; Mtibaa, Abdellatif

doi:10.1109/sta.2016.7952064

Cited by 12 publications

(3 citation statements)

References 6 publications

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“…For the validation of our system, we have been using diverse images sized of 512 × 512 pixels (radiographic, echographic, MRI, and mammography images). We obtain, in the literature, an acceptable extracted watermark when the value of the normalized cross-correlation is greater than "0.75" [13,41,42]. In the medical imaging domain, the signature is a binary message.…”

Section: Experiments' Results Of the Watermarking Schemementioning

confidence: 90%

Crypto-Watermarking Algorithm Using Weber’s Law and AES: A View to Transfer Safe Medical Image

Ajili

Hajjaji

Mtibaa

2021

Scientific Programming

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We propose a novel method for medical image watermarking in the DCT domain using the AES encryption algorithm. First, we decompose the original medical image into subblocks of 8 × 8. Besides, we apply the DCT and the quantization, respectively, to each subblock. However, in the DCT domain, an adequate choice of the DCT coefficients according to the quantization table in the middle frequencies band is performed. After that, we embed the patient’s data into the corresponding medical image. The insertion step is carried out just after the quantization phase. To increase the robustness, we encrypt the watermarked medical images by using the AES algorithm based on chaotic technique. Arnold’s cat map is used to shuffle the pixel values, and a chaotic Henon map is utilized to generate an aleatory sequence for the AES algorithm. The shuffled watermarked image is encrypted using the modified AES algorithm. The constant of Weber is used to choose the suitable visibility factor for embedding a watermark with high robustness. To control identification, after application of attacks, we use the serial turbo code for correction of the watermark to recover the data inserted. The average peak signal-to-noise ratio (PSNR) of the medical images obtained is 61,7769 dB. Experimental results demonstrate the robustness of the proposed schema against various types of attacks.

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Section: Experiments' Results Of the Watermarking Schemementioning

confidence: 90%

Crypto-Watermarking Algorithm Using Weber’s Law and AES: A View to Transfer Safe Medical Image

Ajili

Hajjaji

Mtibaa

2021

Scientific Programming

Self Cite

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“…The Peak Signal to Noise Ratio (PSNR) is one of the most important measurements are used to evaluate an encryption quality [24]. It is used to calculate the difference between the pixels of the original image and the encrypted image depending on the Mean Square Error (MSE) [14],…”

Section: F Peak Signal To Noise Ratio Analysismentioning

confidence: 99%

An Algorithm for Image encryption based on chaotic maps

2023

1st International Conference on Modern and Advanced Research Icmar 2023

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In recent years, the use of chaotic maps in encryption has become an attractive research area, due to the advantages of chaotic maps that make it suitable for use in cryptography. In this paper we present a new image encryption algorithm based on dividing the image into four equal elements, where the direction and the key of encryption of each element is different from other ones. Firstly, Arnold s Cat Map is used to permute the positions of the image pixels. Secondly, the permutated image is divided into four equal elements; thirdly, the content of each image element is diffused by performing the XOR bit operation among two image elements sequentially. Finally, the first element of the produced image is diffused by using the Henon Map. Each element is diffused by performing the XOR bit operation with the element that came before it. The decryption operation uses the secret key and the first element permutated to decrypt the encryption image to obtain the original image. The algorithm is validated using security analysis, and the experimental results demonstrate that the algorithm is simple and effective.

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“…It is used to optimize the design and thus to minimize the delay and resources. XSG is important todays to facilitate hardware implementation[18].To use XSG two software tools are required, MATLAB, and Xilinx Integrated Synthesis Environment (ISE) for synthesis and analysis the HDL designs. The Xilinx DSP blocks are used to build the system; they are existing in the library of…”

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confidence: 99%

Iris Matching Step Implementation in FPGA

Farhan¹,

Al-Gailani²

2019

Iraqi Journal of ICT

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Iris recognition system is broadly being utilized as it has distinctive patterns that gives it a powerful strategy to distinguish between persons for identification purposes. However, this system in this implementation requires large memory capacity and high computation time. These factors make us in a challenge to find a way to run this algorithm in a hardware platform. The hardware implementation features reduce the execution time by exploiting the parallelism and pipeline. The present work addresses this issue when reducing execution time by implementing the matching step using hamming distance algorithm on the target device FPGA KINTEX 7 using Xilinx system generator. The obtained result demonstrates that the execution time has been accelerated to 1.32 ns, which is almost at least four times faster than existing works

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Hardware implementation of encryption image using Xilinx System Generator

Cited by 12 publications

References 6 publications

Crypto-Watermarking Algorithm Using Weber’s Law and AES: A View to Transfer Safe Medical Image

Crypto-Watermarking Algorithm Using Weber’s Law and AES: A View to Transfer Safe Medical Image

An Algorithm for Image encryption based on chaotic maps

Iris Matching Step Implementation in FPGA

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