GUI implementation of image encryption and decryption using Open CV-Python script on secured TFTP protocol

Reddy, K. Rasool; Rao, Ch. Madhava

doi:10.1063/1.5032036

Cited by 3 publications

(1 citation statement)

References 7 publications

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“…Many conventional encryption techniques such as the AES algorithm are very useful. For example, Reddy and Rao developed a GUI-based image encryption program on the secured TFTP protocol and employed the AES algorithm for encryption [28]. However, many of these techniques are sophisticated, which presents a challenge for students and young researchers in the field.…”

Section: Introductionmentioning

confidence: 99%

SecureVision: An Open-Source User-Customizable Image Encryption Program

Beni

Watabe

2021

Applied Sciences

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Data security has become indispensable, with a view to keep sensitive information confidential. One important method is through image encryption, upon which features in an image would no longer be visible. The original image with its features could only be restored upon decryption using a set of keys. There are prestigious works in the literature regarding image encryption. However, there is a lack of easy-to-use, GUI-based, user-customizable computer programs for image encryption. In the present work, we developed a GUI-based image encryption and decryption program with server file transfer support, namely, SecureVision. A custom-made random number generator using the equation of an ellipse was developed to randomly shuffle the pixel positions. SecureVision was found to be robust, user-friendly and fast in both encryption and decryption. The program was highly sensitive to the supplied keys, which prevented brute-force attacks. SecureVision provided full user control, where users could modify the program modules to match their desired applications, which was particularly desirable for pedagogical purposes in that interested parties had the freedom to explore the concept of image encryption and decryption. SecureVision is distributed under a GPLv3 license, which would allow everyone to use, modify and distribute the program without any restriction.

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Section: Introductionmentioning

confidence: 99%