ID	原文	译文
2193	首先计算训练集中入侵检测对象的感知哈希描述子，并将感知哈希描述子拼接成感知哈希矩阵;然后利用设计好的量化函数对矩阵中的哈希描述子进行量化，并按照感知哈希的性质对矩阵进行约简和调整;	Firstly, the perceptual Hash descriptors of the intrusion detection object in the training set is calculated, and the perceptual Hash descriptors are spliced into a perceptual Hash matrix;Then use the designed quantization function to quantize the Hash digest in the matrix, and reduce and adjust the matrix according to the nature of the perceived Hash.
2194	在入侵检测阶段用该矩阵快速定位与待检测对象最相近的 K 个样本，利用 K 近邻的投票原则完成入侵检测任务。	In the intrusion detection phase, the matrix is used to quickly locate K samples closest to the object to be detected, using K nearest neighbors(KNN)'s voting principles to complete intrusion detection tasks.
2195	通过理论分析及在 KDDCUP99 数据集上的相关实验验证了该方法以 O(n)的时间复杂度来快速定位最近邻的 K 个样本，在保持高检测率的同时降低了存储和计算方面的开销，从而更加有效的保护网络环境。	Theo-retical analysis and related experiments on the KDDCUP99 dataset show that the method can quickly locate the nearest neighbor K samples with the O (n)of time complexity, which can reduce the overhead of storage and calculation while maintaining high detection rate, and more effectively protect the network environment.
2196	本文提出了一种基于拟态理论的主动防御的新型框架。	In this paper, a brand-new active defense framework based on CMD (Cyberspace Mimic Defense)theoryis proposed.
2197	通过引入常微分动态系统来表述新型主动防御框架的动态化和结构化特点。	The dynamic and structural characteristics of this framework are described by introducing ordinary differential dynamic systems.
2198	通过常微分方程，将部分现实中的复杂网络攻防问题转化为简单的、准确定义的资源对抗模型。	Through ordinary differential equations, some complex network attack and defense problems in reality are transformed into simple and precisely defined resource confrontation models.
2199	由此，可以对通过异构冗余和自修复性构建的主动防御系统的关键构造获得一种对抗模型分析。	Hence, we can get a counter measure model by constructing key structural details of the active defense system based on the characteristics of heterogeneity, redundancy and self-repairing.
2200	本框架可帮助实现对当前网络主动防御系统的有效性评估并通过选取有效的防御策略来加强系统安全性。	This framework can help to evaluate the effectiveness of current network active defense systems and enhance their security by selecting effective defense strategies.
2201	针对经典前景提取算法无法在光照突变情况下正确提取前景的问题，根据 LBP 算子对光照不敏感的特性，提出了一种基于截尾均值的纹理特征提取算法，	In this paper we address the problem of foreground extraction from images where there is an abrupt changein illumination. This condition is not adequately handled by classical foreground extraction algorithms;thus, we propose a no-vel algorithm based on the censoring mean that relies on the LBP (Local Binary Pattern)operator's insensitivity to illumi-nation.
2202	即通过对噪声的抑制及对平坦区域序列的稳定性处理，解决了原有 LBP 算子易受噪声干扰，平坦区域序列不稳定及得到的纹理图信息冗余的问题。	Our approach first solves issues related to the stability of the region sequence. In turn, this handles the problems of the original LBP operator being susceptible to noise interference, as well as the instability of the flat region sequence.