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Updated: Jan 8, 2026

Integration of 5G Experimentation Infrastructures into a Multi-Site NFV Ecosystem

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Published on: February 3, 2021

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

Subasish Mohapatra¹, Subhadarshini Mohanty¹, Biswajeet Dash²

¹School of Computer Sciences, Odisha University of Technology and Research.

Journal of Visualized Experiments : Jove

|December 22, 2025

Summary

This summary is machine-generated.

Variational DNA-Based Data Security (VDNABDS) offers a novel approach to cloud encryption, using DNA-like sequences for rapid, secure data protection. This bio-inspired method significantly enhances speed and security against modern cyber threats.

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Area of Science:

Computer Science
Cryptography
Bio-inspired Computing

Background:

Cloud storage systems face challenges balancing data security and operational performance.
Traditional encryption methods often create a trade-off between strong security and processing speed.
Existing solutions may be vulnerable to sophisticated cyber threats and quantum computing.

Purpose of the Study:

To develop a next-generation encryption system for cloud storage that overcomes the security-performance dilemma.
To introduce a novel bio-inspired encryption method utilizing DNA structural principles.
To enhance data protection against evolving cyber threats, including brute-force and quantum attacks.

Main Methods:

Developed Variational DNA-Based Data Security (VDNABDS), a system inspired by DNA's biological structure.
Converted user data into DNA-like sequences (A, T, C, G) and applied shuffling/transformation techniques.
Implemented dynamic key generation blended with bio-inspired patterns for encryption.

Main Results:

VDNABDS generated secure keys in 5 ms (15x faster than CSDES) and completed encryption in 4 s under high load.
The system offers 1 x 10^38 unique key combinations, rendering brute-force and quantum attacks infeasible.
Real-world experiments demonstrated superior speed and reliability compared to traditional encryption models.

Conclusions:

VDNABDS provides a robust, scalable, and hardware-independent solution for secure cloud data storage.
The adaptive design offers resilience against intrusion and maintains strong privacy safeguards.
This bio-inspired encryption model is suitable for sensitive data industries and future expansion to mobile and IoT devices.