ID 原文 译文
45206 引入多维欧氏距离，度量不同安全状态的威胁严重程度； Furthermore, the threat severity in different security states were evaluated by introducing multidimensional Euclidean distance.
45207 进而设计预警算法，实现对网络安全威胁的动态预警，且具有更好的准确性和时效性。 By designing the warning algorithm, the dynamic warning of the network security threat was realized, which had better accuracy and timeliness.
45208 仿真实验结果表明，所提模型和算法有效且可行。 Finally, simulation results verify the effectiveness of the proposed algorithm and model.
45209 机器学习技术在僵尸网络检测领域具有广泛应用， Machine learning technology has wide application in botnet detection.
45210 但随着僵尸网络形态和命令控制机制逐渐变化，人工特征选取变得越来越困难。 However, with the changes of the form sand command and control mechanisms of botnets, selecting features manually becomes increasingly difficult.
45211 为此，提出基于深度学习的僵尸网络检测系统——BotCatcher， To solve this problem, a botnet detection system called BotCatcher based on deep learning was proposed.
45212 从时间和空间这 2 个维度自动化提取网络流量特征，通过结合多种深层神经网络结构建立分类器。 It automatically extracted features from time and space dimension, and established classifier through multiple neural network constructions.
45213 BotCatcher 不依赖于任何有关协议和拓扑的先验知识，不需要人工选取特征。 BotCatcher does not depend on any prior knowledge which about the protocol and the topology, and works without manually selecting features.
45214 实验结果表明，该模型性能良好，能够对僵尸网络流量进行准确识别。 The experimental results show that the proposed model has good performance in botnet detection and has ability to accurately identify botnet traffic.
45215 软件数量的大规模增长以及复杂性的增强给软件安全漏洞的研究带来了严峻的挑战， The large number of software and the enhancement of complexity have brought severe challenges to the re-search of software security vulnerabilities.