Evaluation of the quality of an image encrytion scheme

Omoruyi, Osemwegie; Okereke, Chinonso; Okokpujie, Kennedy; Noma‐Osaghae, Etinosa; Okoyeigbo, Obinna; John, Samuel

doi:10.12928/telkomnika.v17i6.10488

Cited by 11 publications

(9 citation statements)

References 14 publications

(15 reference statements)

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“…)dB (formula no)…... (8) Where f(i,j) represent the original pixel (i, j), while F(i, j) is the ciphered pixel, and M × N refer to the picture size. MSE as part of equation 6, provides a quantitative score to describe the degree of similarity between two signals (19). Table 2 show the values of PSNR is highly below 30dB and that prove the encrypted image is highly secure and MSE values is very high and far from 0 with significant value.…”

Section: Msementioning

confidence: 96%

Improved Image Security in Internet of Thing (IOT) Using Multiple Key AES

Salim

Al-Alak²,

Jawad

2021

Baghdad Sci.J

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Image is an important digital information that used in many internet of things (IoT) applications such as transport, healthcare, agriculture, military, vehicles and wildlife. etc. Also, any image has very important characteristic such as large size, strong correlation and huge redundancy, therefore, encrypting it by using single key Advanced Encryption Standard (AES) through IoT communication technologies makes it vulnerable to many threats, thus, the pixels that have the same values will be encrypted to another pixels that have same values when they use the same key. The contribution of this work is to increase the security of transferred image. This paper proposed multiple key AES algorithm (MECCAES) to improve the security of the transmitted image through IoT. This approach is evaluated via applying it on RGB bmp images and analyzing the results using standard metrics such as entropy, histogram, correlation, Peak Signal-to-Noise Ratio (PSNR) and Mean Square Error (MES) metrics. Also, the time for encryption and decryption for the proposed MECCAES is the same time consumed by original single key AES is 12 second(the used image size is 12.1MB therefore time is long). The performance experiments show that this scheme achieves confidentiality also it encourages to use effectively in a wide IoTs fields to secure transmitted image.

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Section: Msementioning

confidence: 96%

Improved Image Security in Internet of Thing (IOT) Using Multiple Key AES

Salim

Al-Alak²,

Jawad

2021

Baghdad Sci.J

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“…Information Entropy Analysis (IEA) evaluates the degree of disorder or randomness of information in an image [23]. When the value of information entropy is high then there would be the least possibility of information leakage [64]. Here, i represents the value of pixel and p(i) shows the probability of i.…”

Section: ) Information Entropy Analysismentioning

confidence: 99%

Systematic Survey on Visually Meaningful Image Encryption Techniques

et al. 2022

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Due to advancements in technology, digital images are widely used in various applications like medical field, military communication, remote sensing, etc. These images may contain sensitive and confidential information. Therefore, images are required to be protected from unauthorized access. Many image protection techniques have been proposed in past years. The most common technique to protect the images is encryption. In this technique, a secret key and an encryption algorithm are used to change the plain image into an encrypted image. The encrypted image looks like a noisy image and can easily attracts the attacker's attention. If image gets captured and stacked, sensitive information can be revealed. In this regard, Visually Meaningful Encrypted Image (VMEI) technique is developed, which initially encrypts the original image and then hides it into a reference image. The final encrypted image looks like a normal image. Hence, VMEI technique provides more security as compared to simple image encryption techniques. Therefore, a systematic survey on existing VMEI techniques is presented in this paper. The VMEI techniques are divided into different categories based on their characteristics. Moreover, this paper elaborates and investigates the improvements and analyses performed on VMEI techniques based on various evaluation parameters. These evaluation parameters are divided into different categories such as security attacks, encryption key attacks, quality analysis, and noise attacks. Finally, this paper discusses the potential applications and the future challenges of VMEI techniques.

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“…The result of the analysis of the histogram shows that the modified algorithm is resistant to statistical attack. For an encryption algorithm to be resistant to statistical attack, it must have a histogram that is entirely different from the plain image and has a uniform distribution of values [25][26][27].…”

Section: Statistical Attackmentioning

confidence: 99%

Implementation of a bit permutation-based advanced encryption standard for securing text and image files

Gamido

2020

IJEECS

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<span>The paper proposes a modification of the Advanced Encryption Standard (AES) to address its high computational requirement steaming from the complex mathematical operations in the MixColumns Transformation which makes the encryption process slow. Bit Permutation was used instead of the MixColumns Transformation since the use of bit permutation in an encryption algorithm achieves efficiency by providing minimum encryption time and memory requirement. Results of the study showed that the modified AES algorithm exhibited faster encryption by 18.47% and faster decryption by 18.77% for text files. The modified AES algorithm also resulted to 16.53% higher avalanche effect compared with the standard AES thus improving the security performance. Application of the modified AES in encrypting images in Cipher Block Chaining mode showed that the modified algorithm also exhibited 16.88% faster encryption and 11.96% decryption compared with the standard AES. Likewise, modifying the algorithm achieved the ideal result in the histogram analysis, information entropy, the correlation coefficient of adjacent pixels to resist statistical attack. The ideal value in number of pixels change rate and unified average change intensity were also achieved making the modified algorithm resistant to differential attack. These results show that modifying AES by using bit permutation to replace MixColumns Transformation was able to address the high computational requirement of the algorithm resulting in a faster and more secure encryption algorithm for text files and images</span><span>.</span>

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Evaluation of the quality of an image encrytion scheme

Cited by 11 publications

References 14 publications

Improved Image Security in Internet of Thing (IOT) Using Multiple Key AES

Improved Image Security in Internet of Thing (IOT) Using Multiple Key AES

Systematic Survey on Visually Meaningful Image Encryption Techniques

Implementation of a bit permutation-based advanced encryption standard for securing text and image files

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