AN EFFICIENT ENHANCED METHODS ON CONFIDENTIALITY & CRYPTANALYSIS WITH MACHINE LEARNING AND DEEP LEARNING

Computer Science & Engineering

: This paper provides a comprehensive overview of the use of ML and DL approaches to optimize privacy-preserving techniques and enhance cryptanalysis methods. Through exploring recent developments, challenges and future possibilities, it aims to contribute to ongoing research efforts to ensure data privacy and security across various domains. Privacy-preserving techniques and cryptanalysis are important components in ensuring secure data transmission and storage in various applications. With the advent of machine learning (ML) and deep learning (DL) techniques, significant advances in privacy-preserving and optimization cryptanalysis have been observed. This paper explores the integration of ML and DL approaches in optimizing privacy-preserving methods and enhancing cryptanalysis techniques. We take an in-depth look at recent developments, challenges, and future prospects in using these technologies to ensure data privacy and security across various domains.

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