AI-DRIVEN QUANTUM-SAFE SECURITY ARCHITECTURE FOR AUTONOMOUS CLOUD DATA CENTERS
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| Natura: | Recurso digital |
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2023
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| _version_ | 1866902067658883072 |
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| author | Vinay Kumar Reddy Vangoor |
| author_facet | Vinay Kumar Reddy Vangoor |
| contents | <p><a href="https://ijetrm.com/issues/files/Mar-2023-30-1774846409-NOV2023-AI-DRIVEN.pdf" target="_blank" rel="noopener"><em><strong>The rapid advancement of quantum computing</strong></em></a> poses an existential threat to the cryptographic foundations that<br>secure today's cloud data centers. Algorithms such as RSA and Elliptic Curve Cryptography (ECC), which protect<br>billions of transactions daily, can be broken by sufficiently powerful quantum computers using Shor's algorithm.<br>Simultaneously, cloud data centers are growing in scale and complexity, demanding security systems that are not<br>only quantum-resistant but also intelligent and self-operating.<br>This research presents an AI-Driven Quantum-Safe Security Architecture (AI-QSA) designed specifically for<br>autonomous cloud data centers. The proposed framework combines three cutting-edge pillars: (1) Post-Quantum<br>Cryptography (PQC) based on NIST-standardized algorithms including CRYSTALS-Kyber and CRYSTALSDilithium; (2) Artificial Intelligence-powered threat detection using federated deep learning models; and (3)<br>autonomous incident response through Security Orchestration, Automation, and Response (SOAR) systems.<br>We evaluate the architecture on a simulated cloud testbed consisting of 500 nodes across three geographic regions.<br>Results demonstrate a 97.2% threat detection rate compared to 74.1% for traditional systems, a mean recovery<br>time of 4.2 minutes versus 28 minutes for legacy approaches, and a composite security score of 94 out of 100.<br>The cryptographic overhead introduced by PQC algorithms remains within acceptable bounds at 55 ms for TLS<br>handshakes. The architecture is validated against NIST, STRIDE, and ISO 27001 compliance frameworks. This<br>work provides a practical, deployable blueprint for organizations preparing their cloud infrastructure for the postquantum era.</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_19325990 |
| institution | Zenodo |
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| publishDate | 2023 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | AI-DRIVEN QUANTUM-SAFE SECURITY ARCHITECTURE FOR AUTONOMOUS CLOUD DATA CENTERS Vinay Kumar Reddy Vangoor <p><a href="https://ijetrm.com/issues/files/Mar-2023-30-1774846409-NOV2023-AI-DRIVEN.pdf" target="_blank" rel="noopener"><em><strong>The rapid advancement of quantum computing</strong></em></a> poses an existential threat to the cryptographic foundations that<br>secure today's cloud data centers. Algorithms such as RSA and Elliptic Curve Cryptography (ECC), which protect<br>billions of transactions daily, can be broken by sufficiently powerful quantum computers using Shor's algorithm.<br>Simultaneously, cloud data centers are growing in scale and complexity, demanding security systems that are not<br>only quantum-resistant but also intelligent and self-operating.<br>This research presents an AI-Driven Quantum-Safe Security Architecture (AI-QSA) designed specifically for<br>autonomous cloud data centers. The proposed framework combines three cutting-edge pillars: (1) Post-Quantum<br>Cryptography (PQC) based on NIST-standardized algorithms including CRYSTALS-Kyber and CRYSTALSDilithium; (2) Artificial Intelligence-powered threat detection using federated deep learning models; and (3)<br>autonomous incident response through Security Orchestration, Automation, and Response (SOAR) systems.<br>We evaluate the architecture on a simulated cloud testbed consisting of 500 nodes across three geographic regions.<br>Results demonstrate a 97.2% threat detection rate compared to 74.1% for traditional systems, a mean recovery<br>time of 4.2 minutes versus 28 minutes for legacy approaches, and a composite security score of 94 out of 100.<br>The cryptographic overhead introduced by PQC algorithms remains within acceptable bounds at 55 ms for TLS<br>handshakes. The architecture is validated against NIST, STRIDE, and ISO 27001 compliance frameworks. This<br>work provides a practical, deployable blueprint for organizations preparing their cloud infrastructure for the postquantum era.</p> |
| title | AI-DRIVEN QUANTUM-SAFE SECURITY ARCHITECTURE FOR AUTONOMOUS CLOUD DATA CENTERS |
| url | https://doi.org/10.5281/zenodo.19325990 |