Artificial Intelligence Integrated with Bio-Quantum Computing to enhance data security and enhance encryption in virtual worlds
Artificial Intelligence (AI) combined with Bio-Quantum Computing is a revolutionary method of improving data security and encryption in virtual environments. Through the use of quantum mechanics and AI-optimized optimization, this combination strengthens cryptographic methods against future cyber threats. Current encryption algorithms like RSA and AES are vulnerable due to the advancement of Bio-Quantum Computing, which can decrypt conventional cryptographic algorithms. Additionally, traditional security systems are not able to adapt in real-time to advanced cyber-attacks. To meet these demands, the suggested framework combines AI with Quantum Key Distribution (AI -QKD). The QKD provides unbreakable key exchange cryptography using quantum properties, whereas AI optimizes encryption protocols in real time through threat analysis, providing heightened security resilience. This technique is used in virtual world transaction security, identity authentication, and secret communications. The AI-based mechanism flexibly adjusts encryption parameters in real time, preventing quantum attacks and increasing the integrity of the overall data. Findings reveal that the new approach enhances the robustness of encryption immensely, lowers risks of key compromise, and makes virtual interactions secure. The fusion of AI and QKD reflects high adaptability, making the encryption systems quantum-resistant and future-proof. The new approach achieves the data integrity by 98.70%, key compromise risks by 45.31%, adaptability by 97.63%.
Authors
- P.S. Ramesh
- Yogesh Kumar (ORCID: https://orcid.org/0000-0002-8169-7481)
- M. Nagaraju Naik
- Muhamed Fallahhusein
- S. Sheik Mydeen
- Pradeepkumar
Institutions
- Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology (IN)
- Iraqi University (IQ)
- Birla Institute of Technology and Science - Hyderabad Campus (IN)
- CMR University (IN)
Publication Details
- Published
- 2025-04-24
- DOI
- https://doi.org/10.1109/iccies63851.2025.11032417
- Primary Topic
- Molecular Communication and Nanonetworks
- Type
- article
- Field-Weighted Citation Impact
- 0.00