Secure visual cryptography for medical image using modified cuckoo search

Begum, A. Alif Siddiqua; Nirmala, S. Jaya

doi:10.1007/s11042-018-5903-y

Cited by 9 publications

(1 citation statement)

References 8 publications

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“…The execution was done relating to "Auditing time, PSNR, key sensitivity, encryption quality and correlation" for three types of images namely; Lena, cameraman, and Baboon. Subsequently, the improvement of the adopted MFM-WO mode l was calculated by distinguishing it from existing models such as MFO [27], WOA [33], AES [3], blowfish [38], ECC [39], HAE-GWO [37], MCSO [35] and chaotic logistic map [36]. Moreover, PSNR analysis was carried out for varied noise levels (in %) that range from 0, 10, 15, 20, 25 and 30.…”

Section:  mentioning

confidence: 99%

Modified Elgamal based Visual Cryptography via Hybrid Optimization Framework

Harish Goud Nayenolla

2024

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Visual cryptography (VC) is a technique for encoding a confidential image into varied shadow images known as shares. In VC, plain text is encoded in the form of images. The encrypted confidential text forms the shares that are transmitted via the internet using channels like email or fax and the shares are transmitted to the decryption procedure. The extant VC schemes increase the processing time and computational requirements in safeguarding the image. Therefore, there is a necessity to introduce a talented encryption method for improvement in the privacy and confidentiality of original images. Here, this working ends to establish a novel VC scheme. At first, the image from the transmitter end is encrypted by the use of a modified Elgamal algorithm with an optimal key generation procedure. Then, share generation is done, where the image is separated into N count of shares. Depending upon the share count, the EXOR operation is doneamid original image bits and keys. The resultant encrypted shared image is subsequently stored in the cloud server. In addition, at the receiver end, decryption is done, which is the reverse procedure of encryption. This work deploys Moth Flame Merged Whale Optimization (MFM-WO) for optimal key generation. Eventually, the superiority of the introduced approach is investigated via the assessment of several existing models.

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Section:  mentioning

confidence: 99%

Modified Elgamal based Visual Cryptography via Hybrid Optimization Framework

Harish Goud Nayenolla

2024

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Sailfish invasive weed optimization algorithm for multiple image sharing in cloud computing

Gutte

Parasar

2021

Int J of Intelligent Sys

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Visual cryptography (VC) is a secret sharing cryptographic technique, which permits visual information that is encrypted in such a way that the decrypted information shows the visual image. Security is the common problem that arises in the general VC technique. To secure the visual information, an effective method is proposed using a developed sailfish invasive weed optimization (SIWO) algorithm. At first, the grayscale image is shared with multiple parties, and here the shared images are encrypted and decrypted to reconstruct the original image back. The key generation is done using the developed SIWO-based data sharing approach. Here, the developed approach offered the peak signal-to-noise ratiof 34.870 and 33.711 dB for Lena and Cameraman images, respectively, and it attains better performance in terms of secret image sharing.

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An Optimal Lightweight Cryptographic Hash Function for Secure Image Transmission in Wireless Sensor Networks

Shankar

Elhoseny

2019

Lecture Notes in Electrical Engineering

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Secure visual cryptography for medical image using modified cuckoo search

Cited by 9 publications

References 8 publications

Modified Elgamal based Visual Cryptography via Hybrid Optimization Framework

Modified Elgamal based Visual Cryptography via Hybrid Optimization Framework

Sailfish invasive weed optimization algorithm for multiple image sharing in cloud computing

An Optimal Lightweight Cryptographic Hash Function for Secure Image Transmission in Wireless Sensor Networks

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