Image Encryption using fractional integral transforms: Vulnerabilities, threats and future scope
Gurpreet Kaur, Rekha Agarwal, Vinod Patidar

TL;DR
This paper reviews image encryption schemes based on fractional integral transforms, analyzing their architectures, implementations, and vulnerabilities, and provides future research directions in digital image security.
Contribution
It offers a comprehensive taxonomy and comparative analysis of fractional integral transform-based encryption schemes, highlighting challenges and future scope.
Findings
Classification of schemes by implementation platform and methodology
Identification of vulnerabilities and security challenges
Guidelines for future research in image encryption
Abstract
With the enormous usage of digital media in almost every sphere from education to entertainment, the security of sensitive information has been a concern. As images are the most frequently used means to convey information, therefore the issue related to the privacy preservation needs to be addressed in each of the application domains. There are various security methods proposed by researchers from time to time. This paper presents a review of various image encryption schemes based on fractional integral transform. As the fractional integral transforms have evolved through their applications from optical signal processing to digital signal and digital image processing over the decades. In this article, we have adopted an architecture and corresponding domain-based taxonomy to classify various existing schemes in the literature. The schemes are classified according to the implementation…
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Taxonomy
TopicsChaos-based Image/Signal Encryption · Digital Filter Design and Implementation · Mathematical Analysis and Transform Methods
