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FRDNAC: A Future-Ready DNA Cryptography Paradigm for Secure Cloud Data Transmission Using Deep Learning-Enhanced Key
Nauman Umer1, Miaolei Deng2, Yuhong Zhang3
1College of Information Science and Engineering, Henan University of Technology, Zhengzhou, 450001, China.
Summary
Future-ready DNA-based cryptography (FRDNAC) offers efficient key generation and enhanced security for cloud environments. This novel approach demonstrates superior encryption speed and memory efficiency compared to existing methods.
Area of Science:
- Computer Science
- Cryptography
- Bio-inspired Computing
Background:
- Cloud computing adoption necessitates robust data security solutions.
- Traditional encryption methods face challenges in efficiency and resource management for cloud environments.
Purpose of the Study:
- To introduce and evaluate the Future-Ready DNA-based Cryptography (FRDNAC) paradigm.
- To assess FRDNAC's performance in key generation, encryption speed, memory efficiency, and security against various threats.
Main Methods:
- FRDNAC combines DNA-based encryption with the feedback-assisted Archimedes optimization algorithm.
- Performance was benchmarked against contemporary optimization algorithms and traditional encryption techniques.
Main Results:
- FRDNAC achieved a superior encryption duration of 0.11s, outperforming competitors like FAT (0.29s) and LES (0.20s).
- Demonstrated enhanced memory efficiency, making it suitable for resource-constrained cloud settings.
- Exhibited robustness against known-plaintext, chosen-plaintext, and brute force attacks.
Conclusions:
- FRDNAC presents a highly secure and efficient cryptographic framework for cloud applications.
- Despite challenges in real-time key generation and computational cost, FRDNAC is a viable solution for high-performance encryption needs in evolving digital landscapes.
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