A Cloud‐Based <scp>DNA</scp> Cryptography ( <scp>CBDC</scp> ) for Enhanced Data Protection

ABSTRACT In this paper, we present a novel approach to securing data stored in the cloud by incorporating DNA‐based cryptography. This methodology, known as cloud‐based DNA cryptography (CBDC), offers a cutting‐edge solution to enhance cloud data security by leveraging DNA's intrinsic data storage capacity and robust encryption capabilities. The primary objective of this study is to propose a comprehensive framework encompassing the foundations, methodologies, and potential benefits of integrating genetic cryptography into cloud systems. The research aims to deepen understanding and provide meaningful insights into the practicality and effectiveness of DNA encryption for strengthening the security of cloud‐based data storage. Additionally, machine learning techniques are employed for anomaly detection and performance evaluation, enabling dynamic system monitoring and optimization. Experimental results demonstrate the superiority of CBDC in terms of time efficiency, compression ratio, and computational performance when compared to traditional encryption techniques. This study also identifies key research gaps through a comprehensive literature review and highlights future directions for integrating bio‐cryptographic models with intelligent, scalable cloud infrastructures.