ID 原文 译文
18275 证明了当输出掩码确定时，其非平凡相关优势都相等； Furthermore, it is proved that when the output mask is fixed, the values of the nontrivial correlation advantages of the S-box are determined.
18276 给出了非平凡相关优势为最大值时的充要条件与计数，解决了这类S盒的Walsh谱分布规律问题。 Then, the necessary and sufficient condition are given when the count for the nontrivial correlation advantage is the maximum value . Finally, the value distribution of the Walsh spectrum of Keccak-like S-box is presented.
18277 集成电路(ICs)面临着硬件木马(HTs)造成的严峻威胁。 Integrated Circuits (ICs) are suffering severer threats caused by Hardware Trojans (HTs), some of which hide in routine operations by coercing firmware or hardware.
18278 传统的旁路检测手段中黄金模型不易获得，且隐秘的木马可以利用固硬件联合操作将恶意行为隐藏在常规的芯片运行中，更难以检测。 Along with conventional side-channel detection not always getting golden-chip, HTs become more difficult to detect.
18279 针对这种情况，该文提出利用机器学习支持向量机(SVM)算法从系统操作层次对旁路分析检测方法进行改进。 An improved Support VectorMachine (SVM) machine learning frameworks for this is proposed using system-level side-channel analysis.
18280 使用现场可编程门阵列(FPGA)验证的实验结果表明，存在黄金模型时，有监督SVM可得到86.8%的训练及测试综合的平均检测准确率，进一步采用分组和归一化去离群点方法可将检测率提升4%。 Cross validation experimental results on Field Programmable Gate Array (FPGA) show that in the condition of golden-chip, supervised SVM achieves 85.8% test accuracy in average.After grouping, outlier-removing andnormalization, it rises by 4%.
18281 若黄金模型无法获得，则可使用半监督SVM方法进行检测，平均检测率为52.9%～79.5%。 Even if golden-chip is out of hand, semi-supervised SVM has accuracy to judgeHTs existence, averaging in 52.9%-79.5% under different test modes.
18282 与现有同类方法相比，验证了SVM算法在指令级木马检测中的有效性，明确了分类学习条件与检测性能的关系。 Comparing with existing researches, thiswork verifies the efficiency of SVM for HT detection in instruction level, and points out the relationshipbetween diversified learning conditions with detection performance.
18283 北斗2号系统于2012年正式向亚太地区提供服务，其中GEO-3卫星已退役，由GEO-7卫星替代。 The BDS-2 (BeiDou-2 System) officially provided services to the Asia-Pacific region in 2012. TheGEO-3 satellite has been retired and replaced by the GEO-7 satellite.
18284 研究卫星临退役期间的信号质量特性不仅能够分析北斗2号系统卫星载荷状态，而且为其它临退役星的信号特性估计提供重要的参考价值，同时对北斗3号系统GEO卫星载荷信号质量控制与优化具有重要的借鉴意义。 Studying the signal qualitycharacteristics of the satellite during the pro-retirement period can not only analyze the satellite payload statusof the BDS-2, but also provide important reference value for other signal characteristics of the pro-retirementsatellite. At the same time, it has important enlightenment and reference significance for the signal qualitycontrolling and optimizing of the GEO satellite load of the BDS-3.