AI 中文总结
本研究提出基于二进制环学习误差算法的逻辑锁定方案，在RISC-V片上系统中实现，可保护特权切换时的关键逻辑路径，开销较低且性能影响适度。
AI 中文摘要
本研究提出一种基于二进制环学习误差（binary Ring Learning With Errors）算法的逻辑锁定方案，该方案已在RISC-V片上系统（System-on-Chip）设计中实现。与传统逻辑锁定方法需向用户提供原始锁定参数不同，所提方法在特权切换过程中保护关键逻辑路径，且不泄露这些敏感参数。所实现的锁定模块消耗3519个查找表（Look-Up Tables）和2645个寄存器，与基准系统相比，查找表的总体开销为6.0%，寄存器的总体开销为6.9%。解锁过程约需2.6微秒（us），带来适度的性能影响，主要影响系统级操作，同时保留用户级计算效率。
英文摘要
This study presents a logic locking scheme based on the binary Ring Learning With Errors algorithm, implemented in a RISC-V System-on-Chip design. Unlike traditional logic locking methods that require providing users with raw locking parameters, the proposed approach secures critical logic paths in the privilege switching process without exposing these sensitive parameters. The implemented locking module itself consumes 3519 Look-Up Tables and 2645 Registers, leading to an overall overhead of 6.0% in Look-Up Tables and 6.9% in Registers compared to the baseline system. The unlock process requires about 2.6 us, introducing moderate performance impact, primarily affecting system-level operations while preserving user-level computational efficiency.
Journal refIEEE Transactions on Very Large Scale Integration (VLSI) Systems, vol. 33, no. 7, pp. 2049-2053, July 2025
DOI：10.1109/TVLSI.2025.3556241
