2026-10-11T14:46:44Z https://api.figshare.com/v2/oai

oai:figshare.com:article/33809831 2026-09-15T17:26:23Z category_146 category_7 category_45 category_734 category_931 portal_5 item_type_3 month_year_09_2026

<p>Energy Efficiency Performance Comparison.</p> Sulaiman Alamro (23120272) Space Science Medicine Sociology Biological Sciences not elsewhere classified Information Systems not elsewhere classified trust policy enforcement maintains seamless interoperability emerging 6g architectures agent orchestration engine 10 ^(&# 8722 01 ), ensuring resistant security mechanisms ensure robust security dynamic 6g environments autonomous 6g zero paper presents qshield quantum cryptographic algorithms dynamic zero autonomous zero threat environments autonomous decision xlink "> way anova touch networks touch networking ten state making accuracy latency reduction enhanced attacks energy efficiency driven multi compliant guidelines complex challenges bit ). art frameworks <div><p>The evolution towards 6G networks demands unprecedented levels of automation, security, and quantum resilience to address the complex challenges of autonomous zero-touch networking. Current orchestration frameworks lack comprehensive quantum-resistant security mechanisms and fail to provide adaptive trust management suitable for dynamic 6G environments. This paper presents QShield-ZTN, a novel quantum-resilient, standards-compliant secure orchestration model designed specifically for autonomous 6G zero-touch networks. The proposed framework integrates hybrid post-quantum cryptographic algorithms, dynamic zero-trust policy enforcement, and an AI-driven multi-agent orchestration engine to ensure robust security in quantum-threat environments. Extensive experimental evaluations conducted using four heterogeneous datasets (NSL-KDD + , CICIDS2017 + , QShield-Synthetic, and Quantum-Dataset) demonstrate significant performance gains over ten state-of-the-art frameworks. QShield-ZTN achieves a 47.3% improvement in quantum resistance, 52.1% enhancement in autonomous decision-making accuracy, and 34.8% latency reduction, while maintaining high detection accuracy (97.3%) and energy efficiency (3.2 × 10^(−9) J/bit). These improvements are statistically validated using one-way ANOVA and paired t-tests (p < 0.01), ensuring the reliability and reproducibility of results. The proposed framework successfully mitigates diverse classical and quantum-enhanced attacks, maintains seamless interoperability with emerging 6G architectures, and provides standards-compliant guidelines for practical deployment.</p></div> 2026-09-15T17:25:55Z Dataset Dataset 10.1371/journal.pone.0357590.t015 https://figshare.com/articles/dataset/_p_Energy_Efficiency_Performance_Comparison_p_/33809831 CC BY 4.0