ID 原文 译文
1513 多个基准程序和工业程序的实验结果表明，与随机方法和遗传算法比较，文中方法能够提高路径覆盖率，减少冗余测试数据的生成。 The experi-mental results show that compared with the random method and the genetic algorithm, the proposed method can improve thepath coverage and reduce the generation of redundant test data.
1514 物理不可克隆函数(Physical Unclonable Function，PUF)凭借其固有的防篡改、轻量级等特性，在资源受限的物联网安全领域拥有广阔的应用前景，其自身的安全问题也日益受到关注。 Due to the tamper proof and lightweight nature, physical unclonable function are proposed to provide securi-ty with low cost for the internet of things. Security of PUF itself has attracted much more attention.
1515 多数强 PUF 可通过机器学习方法建模，抗机器学习的非线性结构 PUF 难以抵御侧信道攻击。 Almost all strong PUFcan be modeled using machine learning techniques, while the complicated PUF with non-linear structure, which are resistantto machine learning modeling, are vulnerable to side channel attacks.
1516 本文在研究强 PUF 建模的基础上，基于统一符号规则分类介绍了现有的强 PUF 侧信道攻击方法如可靠性分析、功耗分析和故障注入等，重点论述了各类侧信道 /机器学习混合攻击方法的原理、适用范围和攻击效果， According to the unified symbol rules, the paper pres-ents existing side channel attack methods on strong PUFs, such as reliability analysis, power analysis and fault injection. The principles, performance and applications of side channel/machine learning hybrid attack methods are elaborated and ana-lyzed.
1517 文章最后讨论了 PUF 侧信道攻击面临的困境和宜采取的对策。 In the end, the temporary predicaments and countermeasures of side channel attack on PUF are discussed.
1518 为解决弹性光网络中虚拟网络映射时能耗严重、资源分配不均的问题，该文提出一种联合能耗与负载均衡的虚拟网络映射(PC-LB-VONE)方法。 Due to the energy consumption and imbalance resources allocation in virtual optical network embedding o-ver elastic optical networks, a joint power consumption and load balancing for virtual optical network embedding (PC-LB-VONE)is proposed.
1519 在虚拟节点映射时，选择相邻链路长度短、光节点计算资源多与相邻链路带宽资源多的光节点映射。 During virtual node embedding, we select the physical node which has shorter length of its adjacentlink, and smaller difference between its computing resources and bandwidth resources of its adjacent link.
1520 在虚拟链路映射时，提出一种基于极大团的候选光路资源匹配度单路径映射策略。 During virtual linkembedding, considering the resource matching degree of candidate optical paths, a single-path embedding strategy based onmaximal clique is proposed.
1521 当单路径映射失败时，设计基于链路负载均值的多路径映射策略。 When the single-path embedding strategy fails, a multi-path embedding strategy based on the av-erage link load will be taken.
1522 仿真结果表明，所提方法能在减少弹性光网络能耗的同时均衡网络负载。 Simulation results show that the proposed PC-LB-VONE algorithm can effectively decrease theenergy consumption and balance the traffic load.