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A Literature-Based Feasibility Verification of a Robust Autonomous Security Architecture

  • Journal of Software Assessment and Valuation
  • Abbr : JSAV
  • 2025, 21(4), pp.89~98
  • Publisher : Korea Software Assessment and Valuation Society
  • Research Area : Engineering > Computer Science
  • Received : November 11, 2025
  • Accepted : December 20, 2025
  • Published : December 26, 2025

Hojung Lim 1 Shin DongMyung 2

1한국전자기술연구원
2엘에스웨어 (주)

Accredited

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.

Citation status

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