Information Protection Service using Topological Image Coverage

Kovalchuk, Anatoliy; Izonin, Ivan; ml., Mihal Gregush; Kustra, Natalya

doi:10.1016/j.procs.2019.11.057

Cited by 6 publications

(2 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The NPCR determines the percentage of pixels within two different images, and it can be calculated as follows [ 31 ]:

…”

Section: Proposed Algorithmmentioning

confidence: 99%

“…A method of encryption-decryption employing Rivest–Shamir–Adleman (RSA) algorithm components and topological image protection was suggested by Kovalchuk et al The main advantages of the suggested approaches are accomplished by using images with functional fluctuation intensity [ 31 ]. The effect of the noise-adding functions added to the source picture, and also the different values of simple numbers of the RSA scheme on the effects of the process were analyzed in another work.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A New Algorithm for Digital Image Encryption Based on Chaos Theory

Pourasad

Ranjbarzadeh

Mardani

2021

Entropy

131

View full text Add to dashboard Cite

In recent decades, image encryption, as one of the significant information security fields, has attracted many researchers and scientists. However, several studies have been performed with different methods, and novel and useful algorithms have been suggested to improve secure image encryption schemes. Nowadays, chaotic methods have been found in diverse fields, such as the design of cryptosystems and image encryption. Chaotic methods-based digital image encryptions are a novel image encryption method. This technique uses random chaos sequences for encrypting images, and it is a highly-secured and fast method for image encryption. Limited accuracy is one of the disadvantages of this technique. This paper researches the chaos sequence and wavelet transform value to find gaps. Thus, a novel technique was proposed for digital image encryption and improved previous algorithms. The technique is run in MATLAB, and a comparison is made in terms of various performance metrics such as the Number of Pixels Change Rate (NPCR), Peak Signal to Noise Ratio (PSNR), Correlation coefficient, and Unified Average Changing Intensity (UACI). The simulation and theoretical analysis indicate the proposed scheme’s effectiveness and show that this technique is a suitable choice for actual image encryption.

show abstract

“…The NPCR determines the percentage of pixels within two different images, and it can be calculated as follows [ 31 ]:

…”

Section: Proposed Algorithmmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%