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In an era characterized by the rapid increase of digital information, it is essential to protect valuable datasets from unauthorized access and distribution. This article introduces a comprehensive strategy to enhance dataset security using various techniques, including Black-Box Ownership Verification, Advanced Watermarking, Screenshot Prevention Algorithm, Image Blurring Algorithm, and Edge Detection and Blurring. The main challenge lies in the vulnerability of datasets to unauthorized breaches, which we address thoroughly. This article suggests that the Advanced Watermarking Algorithm discreetly embeds digital signatures within the dataset, facilitating quick identification of unauthorized data sharing or leaks. At the same time, the Black-Box Ownership Verification system establishes strict access controls, ensuring that only authenticated individuals can access the data. In order to address the problem of unauthorized screenshot capture, our Screenshot Prevention Algorithm utilizes advanced methods to identify and prevent attempts to capture screenshots, providing an additional level of protection. Additionally, the Image Blurring Algorithm obscures the content of the dataset, making it unreadable for unauthorized individuals.
Vanamathi et al. (Sat,) studied this question.