Digital image security based on data hiding and cryptography

Al-Haj, Ali; Abdel-Nabi, Hiba

doi:10.1109/infoman.2017.7950423

Cited by 18 publications

(5 citation statements)

References 9 publications

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“…Subsequently, we evaluate it by calculating the entropy value. Compared with recent works in [44][45][46][47], as shown in Table 8, we obtained a good entropy very close to 8 bits/pixel.…”

Section: Experiments Results Of the Encryption Schemasupporting

confidence: 58%

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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“…Subsequently, we evaluate it by calculating the entropy value. Compared with recent works in [44][45][46][47], as shown in Table 8, we obtained a good entropy very close to 8 bits/pixel.…”

Section: Experiments Results Of the Encryption Schemasupporting

confidence: 58%

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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“…Picture encryption keys are generated by first slicing the image into four sections, then encrypting each section individually n times, then reversing the keys for each section, and finally repeating the process n times. As introduced by Al-Haj A. et al in [13], 94 http://www.i-joe.org the watermark picture may be embedded in the source image by using the Histogram Shifting RDH technique in the spatial domain. A partially encrypted picture was produced.…”

Section: Related Workmentioning

confidence: 99%

An Image Feature Extraction to Generate a Key for Encryption in Cyber Security Medical Environments

Jamil

Azeez

Hassan³

2023

Int. J. Onl. Eng.

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Cyber security is a term utilized for describing a collection of technologies, procedures, and practices that try protecting an online environment of a user or an organization. For medical images among most important and delicate data kinds in computer systems, the medical reasons require that all patient data, including images, be encrypted before being transferred over computer networks by healthcare companies. This paper presents a new direction of the encryption method research by encrypting the image based on the domain of the feature extracted to generate a key for the encryption process. The encryption process is started by applying edges detection. After dividing the bits of the edge image into (3×3) windows, the diffusions on bits are applied to create a key used for encrypting the edge image. Four randomness tests are passed through NIST randomness tests to ensure whether the generated key is accepted as true. This process is reversible in the state of decryption to retrieve the original image. The encryption image that will be gained can be used in any cyber security field such as healthcare organization. The comparative experiments prove that the proposed algorithm improves the encryption efficiency has a good security performance, and the encryption algorithm has a higher information entropy 7.42 as well as a lower correlation coefficient 0.653.

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“…The framework depends on a hybrid approach to facilitate with medical image's diverse security highlights while exchanging the medicinal records. The specialists are presented by Al-Haj et al [37]. These days, cyber-attackers are focusing on healthcare and medicinal services as the most favored domain as highlighted by Alharam et al [38] presented a comparison of the various cybersecurity applications and concentrated on the Advanced Encryption Standard utilization for protecting medicinal services against cyber-assaults, and its applications in e-HI.…”

Section: Hi-forgery /Eavesdroppingmentioning

confidence: 99%

Enhancing Security of Health Information Using Modular Encryption Standard in Mobile Cloud Computing

et al. 2021

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Digital image security based on data hiding and cryptography

Cited by 18 publications

References 9 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 Image Feature Extraction to Generate a Key for Encryption in Cyber Security Medical Environments

Enhancing Security of Health Information Using Modular Encryption Standard in Mobile Cloud Computing

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