Research on SCLOUD+ post-quantum key encapsulation adaptation and BW lattice optimization for intelligent computing networks

Research on SCLOUD+ post-quantum key encapsulation adaptation and BW lattice optimization for intelligent computing networks

The existing mainstream post-quantum key encapsulation mechanisms, such as the module-lattice-based key encapsulation mechanism (ML-KEM), rely on the module learning with errors (Module-LWE) problem associated with structured lattices. The algebraic structure of these mechanisms may lead to reductio...

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Bibliographic Details
Main Authors: PAN Jie, XI Zhuoning, ZHAO Zhanjun, BU Zhonggui, HOU Huifang, YE Lan, CHEN Xi, XUE Zhao
Format: Article
Language:zho
Published: Beijing Xintong Media Co., Ltd 2025-07-01
Series:Dianxin kexue
Subjects:
intelligent computing network
Barnes-Wall lattice
bounded distance decoding
post-quantum cryptography
key encapsulation
Online Access:http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2025169/
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Summary:The existing mainstream post-quantum key encapsulation mechanisms, such as the module-lattice-based key encapsulation mechanism (ML-KEM), rely on the module learning with errors (Module-LWE) problem associated with structured lattices. The algebraic structure of these mechanisms may lead to reduction vulnerabilities. The SCLOUD+ scheme, which was focused on within the unstructured LWE framework, achieved significant compression of public key and ciphertext sizes through high-dimensional lattice coding gain, based on the recursive construction properties of the Barnes-Wall (BW) lattice. Moreover, a dimension-specific full-unfolding recursive elimination technique for BW lattices was proposed. Through compile-time constant optimization, hierarchical hard-coding strategies, and single-instruction, multiple-data (SIMD) friendly memory layouts, the decoding clock cycles of the BW lattice in a 128-dimensional scenario were reduced from 147 798 to 30 107, providing core support for the SCLOUD+ post-quantum key encapsulation mechanism. This research provided a lightweight key encapsulation mechanism (KEM) paradigm that balances efficiency and quantum-resistant security for intelligent computing networks, laying a crucial technical foundation for low-latency scenarios such as distributed federated learning.
ISSN:1000-0801

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