ID 原文 译文
18495 该文针对PUFFIN算法，改进多比特故障模型，通过构建输出差分和可能输入值之间的关系，注入5次故障即可确定单个S盒唯一输入值； The multi-bit fault model for PUFFINalgorithm is improved. By constructing the relationship between the output difference and the possible inputvalues, the single input value of a single S-box can be determined by injecting 5 faults.
18496 在最后一轮加密过程中注入10次故障，成功恢复轮密钥的概率为78.64%，进而可恢复初始密钥。 The probability ofsuccessfully recovering the round key is 78.64%, and the initial key can be recovered.
18497 在虚拟化网络切片场景中，底层物理网络中一个物理节点(PN)或一条物理链路(PL)的异常会造成多个网络切片的性能退化。 In virtualized network slicing scenario, one anomaly Physical Node (PN) or Physical Link (PL) insubstrate networks will cause performance degradation of multiple network slices.
18498 因网络中每个时刻都会产生新的测量数据，该文设计了两种在线异常检测算法实时监督物理网络的工作状态。 For new measurements areachieved in each period, two online anomaly detection algorithms to monitor the working states of substratenetworks in real time are designed.
18499 首先，该文提出了一种基于在线一类支持向量机(OCSVM)的PN异常检测算法，该算法可根据每个时刻虚拟节点(VNs)的新测量数据进行模型参数的更新而不需要任何标签数据； An online One-Class Support Vector Machine (OCSVM) algorithm is first proposed in this paper to detect the working states of PNs. Without requiring any labeled data, the modelparameters of OCSVM can be updated based on the new measurements of Virtual Nodes (VNs) in eachiteration.
18500 其次，基于虚拟链路两端点间测量数据的自然相关性，该文提出基于在线典型相关分析(CCA)的PL异常检测算法，该算法只需要少量标签数据就可以准确分析出PL的异常情况。 Then, an online Canonical Correlation Analysis (CCA) based PL anomaly detection algorithm is proposed according to the natural correlation of measurements between neighboring VNs of virtual links. With a small amount of labeled data, the algorithm can accurately analyze the working states of PLs.
18501 仿真结果验证了该文所提在线异常检测算法的有效性和鲁棒性。 The simulation results verify the effectiveness and robustness of the proposed online anomaly detection algorithms for the virtualized network slicing.
18502 为进一步提高聚合位向量(ABV)算法分类数据包的速度，该文提出一种面向连接的改进ABV(IABV)算法。 In order to increase the classification speed of Aggregated Bit Vector (ABV) algorithm, an Improved Aggregated Bit Vector (IABV) algorithm is proposed, which is connection-oriented.
18503 该算法利用同一连接包分类查找规则相对一致的特点，建立哈希表-规则库两级优化查找结构， Based on the characteristicthat the packets which belong to the same connection have similar classification results, IABV establishes aHash table-rule set two-level searching structure.
18504 首先通过哈希表查找包分类规则，若未命中继续从规则库中查找。 It first searches in the Hash table to check the packetclassification rule and then finds the matching rule in the rule set when the Hash table lookup fails.