고강인 자율보안 아키텍처의 문헌 기반 설계 타당성 검증 연구 = A Literature-Based Feasibility Verification of a Robust Autonomous Security Architecture

다국어 초록 (Multilingual Abstract)

This study presents a robust autonomous security architecture that integrates PUF, QRNG, PQC, AI-based IDS/IRS, and Tangle to address single-point-of-failure risks in hyper-connected IoT, smart-city, and humanoid systems. As a literature-based analysis, all performance metrics are sourced from empirical studies and standards. Prior research shows PUF reproducibility and uniqueness (Intra-HD ≤ 6%, Inter-HD 48-50%) and QRNG entropy above 0.98 bit/bit under NIST SP800-90B evaluations. AI IDS/IRS results on UNSW-NB15 and CIC-IDS2017 report 89-94% precision, 89-91% F1-scores, and 4-8 ms latency. The Tangle latency model O(logn/n) is drawn from earlier analytical work, and NIST assessments of Kyber and Dilithium clarify resource-performance trade-offs. These findings collectively support the feasibility of a real-time, quantum-resistant security framework for future IoT and humanoid environments.