VDNABDS, A DNA-Based Cryptographic Protocol for Enhancing Cloud Security

Modern cloud storage systems often struggle to balance security and performance-strong encryption tends to slow down operations, while faster solutions can compromise data safety. To solve this, we developed Variational DNA-Based Data Security (VDNABDS), a next-generation encryption system inspired by the biological structure of DNA. Instead of relying solely on traditional mathematical algorithms, this method converts user-specific information into DNA-like sequences using the four nucleotides (A, T, C, G), then applies smart shuffling and transformation techniques to secure cloud-stored files. This method blends dynamic key generation with bio-inspired patterns, achieving rapid encryption without sacrificing protection. In testing, this method generated secure keys in just 5 ms, which is 15 times faster than existing models like Cloud Security with Dynamic Encryption Sequences (CSDES), and completed full encryption in 4 s, even under high user loads of nearly 1,000 simultaneous users. The proposed Method also provides exceptional defense against cyber threats, offering 1 x 10<sup>38</sup> unique key combinations-making brute-force and quantum attacks practically impossible. Its adaptive design constantly updates security patterns, making it highly resilient to intrusion. Importantly, it integrates smoothly with existing cloud platforms, enabling fast data access while maintaining strong privacy safeguards. Real-world experiments showed VDNABDS consistently outperforms traditional encryption models in both speed and reliability. With its robust, scalable, and hardware-independent architecture, this system is especially suited for industries like healthcare, finance, and defense, where data sensitivity is paramount. Looking ahead, we aim to expand this biological encryption model to smartphones and Internet of Things (IoT) devices, paving the way for a new era of fast, secure, and quantum-resistant data protection.

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Publication Details

Journal
Journal of Visualized Experiments
Published
2025-12-05
DOI
https://doi.org/10.3791/68843
Primary Topic
DNA and Biological Computing
Type
article
Field-Weighted Citation Impact
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article

VDNABDS, A DNA-Based Cryptographic Protocol for Enhancing Cloud Security

A. Ray, Subhadarshini Mohanty, Subasish Mohapatra, Sachi Nandan Mohanty et al.
Journal of Visualized Experiments
DNA and Biological Computing
article

VDNABDS, A DNA-Based Cryptographic Protocol for Enhancing Cloud Security

A. Ray, Subhadarshini Mohanty, Subasish Mohapatra, Sachi Nandan Mohanty, Bisnu Prasad Dash, Manjubala Dash
article en

Abstract

Modern cloud storage systems often struggle to balance security and performance-strong encryption tends to slow down operations, while faster solutions can compromise data safety. To solve this, we developed Variational DNA-Based Data Security (VDNABDS), a next-generation encryption system inspired by the biological structure of DNA. Instead of relying solely on traditional mathematical algorithms, this method converts user-specific information into DNA-like sequences using the four nucleotides (A, T, C, G), then applies smart shuffling and transformation techniques to secure cloud-stored files. This method blends dynamic key generation with bio-inspired patterns, achieving rapid encryption without sacrificing protection. In testing, this method generated secure keys in just 5 ms, which is 15 times faster than existing models like Cloud Security with Dynamic Encryption Sequences (CSDES), and completed full encryption in 4 s, even under high user loads of nearly 1,000 simultaneous users. The proposed Method also provides exceptional defense against cyber threats, offering 1 x 10<sup>38</sup> unique key combinations-making brute-force and quantum attacks practically impossible. Its adaptive design constantly updates security patterns, making it highly resilient to intrusion. Importantly, it integrates smoothly with existing cloud platforms, enabling fast data access while maintaining strong privacy safeguards. Real-world experiments showed VDNABDS consistently outperforms traditional encryption models in both speed and reliability. With its robust, scalable, and hardware-independent architecture, this system is especially suited for industries like healthcare, finance, and defense, where data sensitivity is paramount. Looking ahead, we aim to expand this biological encryption model to smartphones and Internet of Things (IoT) devices, paving the way for a new era of fast, secure, and quantum-resistant data protection.

Journal of Visualized Experiments(226)
Odisha University of Agriculture and Technology (IN)
Openalex Percentile: Top 65%
DNA and Biological Computing
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