In April, person unknown cracked Sony's PlayStation network, and stole 77 million users' data.
四月份，人所共知的SonyPlayStation网络遭到攻击，七千八百万的用户数据被盗取。
These maybe totally innocent attempts at connecting from a local machine within your network or a brute force attempt from an unknown host.
这些可能是来自您的网络中本地机器的完全无恶意的连接尝试，也可能是来自未知主机的强力连接尝试。
Traditional intrusion detection methods lack extensibility in face of changing network configurations as well as adaptability in face of unknown attack type.
传统的入侵检测方法在面对多变的网络结构时缺乏可扩展性，而且在未知的攻击类型面前也缺乏适应性。
Any requests for information by unknown persons need to be sent to a central network security location for verification and fulfillment.
对于身份不明的人的任何要求，需要的信息被发送到中央网络核查和执行安全的位置。
The network is not ready for some unknown reason. Please try again shortly.
由于未知原因，网络尚未准备好。请稍后再试一次。
The results showed that IIDS can properly detect network intrusion actions and implement the detection to unknown attack modes for the due aim.
测试结果表明，IIDS可以有效地检测出网络的入侵行为，以及未知的攻击模式，达到了预期目标。
Multilayered neural network offers a new exciting alternative for modelling unknown nonlinear dynamical system.
神经网络为未知非线性动态系统的建模提供了一条新途径。
This paper investigates the identification of unknown nonlinear dynamical system using multilayered feedforward neural network with a single hidden layer.
本文探讨了只用单个隐含层的前向神经网络对未知非线性动态系统的识别。
The problem of direct adaptive neural network control for a class of interconnected systems with unknown constant control gains is studied in this paper.
研究了一类具有未知常数控制增益的耦合大系统的直接自适应神经网络控制问题。
Introduction was made to a neural network robust adaptive controller, which can be applied in model unknown control system.
介绍了神经网络自学习鲁棒自适应控制器，该控制器可以应用在模型未知的控制系统中。
A real data set from near infrared reflectance spectra of aspirin used to build up artificial network to predict unknown samples.
使用阿斯匹林粉末药品的近红外漫反射一阶导数光谱数据建立人工神经网络模型，预测未知样品。
Fuzzy basis function network (FBFN) based on t s fuzzy model is given. A general approach for fault information detection in unknown systems using FBFN is present.
给出了基于TS模型的模糊基函数网络(FBFN)，并提出了一种基于FBFN的未知系统故障信息检测通用方法。
The simulation results are presented to demonstrate that the model of an unknown nonlinear dynamical system is built with the multilayered feedforward neural network model.
仿真实例进一步表明，采用神经网络建立未知非线性动态系统的在线模型具有可行性。
The key idea is to take advantage of classification abilities of neural network for unknown attacks and the rule-based system for the known attacks.
主要思想是利用神经网络的分类能力来识别未知攻击，使用基于规则系统识别已知攻击。
Camouflaging network service can monitor and track attacks and its processes; also it can find unknown attack and its characters.
基于伪装网络服务监测跟踪攻击行为及过程，可以有效地研究发现未知攻击方式及其特征。
Network traffic anomaly refers to the status that traffic behaviors depart from the normal behaviors, which has characteristics of a sudden attack and the unknown threatened characteristics.
网络流量异常是指网络的流量行为偏离其正常行为的情形，具有发作突然、先兆特征未知的特点，有可能在短时间内给网络及其设备带来极大的伤害。
A real data set from near -infrared diffuse reflectance spectra of spironolactone pharmaceutical powder was used to built up an artificial neural network model to predict unknown samples.
使用安体舒通粉末药品的近红外漫反射光谱数据建立人工神经网络模型，预测未知样品。
RBF neural network is proposed to approximate unknown nonlinear function. Sliding mode error is used to adaptively tune its weights online. Dynamics performance is improved.
采用RBF神经网络逼近系统未知的非线性函数，引入滑模误差对其权值进行在线自适应调整，改善动态性能。
Research on unknown network protocol reverse parsing is of great significance in many network security applications.
研究未知网络协议逆向解析技术在网络安全应用中具有重要的意义。
To research and implement the unknown malicious code detection system based on network behavior analysis, in order to detect unknown malicious code effectively.
研究并实现基于网络行为分析的未知恶意代码检测系统，有效地对未知恶意代码进行检测。
Then we present an algorithm to detect unknown network virus based on network dataflow.
通过基于流量的检测，实现对于新型未知网络病毒的挖掘。
The main achievements of the project include: (1) several new approaches for fault detection of Networked Control Systems (NCS) with random and unknown network-induced delay have been proposed.
主要成果包括：（1）提出了多种对未知随机网络延迟具有鲁棒性的网络化控制系统（NCS）的故障检测方法。
The network is having changed people's life-style and values with hitherto unknown speed since entering Internet Age.
进入互联网时代以来，网络以前所未有的速度改变着人们的生活方式和价值观念。
Secondly, the anomaly detection model based on K-means algorithm and SOM network is constructed. It can classify the normal and abnormal network data stream so better to detect the unknown attack.
提出了一种k-均值聚类算法和SOM自组织神经网络算法相结合的异常检测模型，使得系统可以更好的分类正常数据流和异常数据流，以此来防范未知的攻击。
It introduces an available safe model, and the steps to guard the unknown attacks to protect the safety of the network.
分析了目前企业网络安全存在的问题，结合现有的各种安全防护措施，给出了一种针对企业网的网络安全模型。
It introduces an available safe model, and the steps to guard the unknown attacks to protect the safety of the network.
分析了目前企业网络安全存在的问题，结合现有的各种安全防护措施，给出了一种针对企业网的网络安全模型。
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