因此研究网络蠕虫的相关技术十分重要。
So the technology research about the Internet worm is very important.
进程行为与网络蠕虫类似。
网络防护保护您的计算机免遭网络蠕虫的侵袭。
Network Shield - Provider SettingsNetwork Shield provider protects your computer from Internet worm attacks.
计算机用户长久以来都受到病毒、网络蠕虫以及各种恶意软件的侵扰。
Computer users have for years struggled with viruses, worms and all sorts of malware.
实验证明，该检测方法能够快速有效地检测出未知网络蠕虫的爆发。
The experiment result proves that our approach is effectively and quickly to detect unknown worm.
“红色代码”利用了微软软件中的一个漏洞，是最早的网络蠕虫之一。
Code Red "use of Microsoft software in a loophole, is one of the first network worm."
第二个模型基于SEIR模型，考虑了网络蠕虫出生率和死亡率的影响。
The second one, based on the SEIR model, considers the birth rate and death rate of Internet worms.
首先分析了将信息熵应用于网络蠕虫检测的可行性，并进行了相关测试。
First, we analyzed the feasibility of applying information entropy in the detection of network worms and conducted related tests.
为提高并行网络蠕虫模拟的性能，需要对蠕虫模拟任务进行合理的划分。
To improve the performance of parallel simulation of network worms, the simulation task of worms should be partitioned reasonably.
为了更好地表达网络蠕虫传播情况，提出了一种新的蠕虫传播分段模型。
In order to describe Internet worm propagation, a novel subsection model of network worm propagation was put forward.
第四章根据提出的系统方案，设计了各个模块，实现一个网络蠕虫预警原型。
In the fourth chapter, we have designed each module, and realized worm's early warning prototype.
本文介绍了网络蠕虫病毒的功能结构、传播机制以及SIR流行病传播模型。
In the paper, the function structure, propagation mechanism and the SIR epidemic model are introduced.
如何有效地遏制网络蠕虫在大规模网络中的传播成为非常迫切需要解决的问题。
Therefore, it is pressing to hamper Internet worm's prevalence in large scale network.
随着互联网应用的深入，网络蠕虫对计算机系统安全和网络安全的威胁日益增加。
With the wide application of the Internet, worm's threat to security of computer system and security of network increases day by day.
模拟结果表明网络蠕虫潜伏期与免疫措施强度是影响网络蠕虫传播过程的重要因素。
The simulation results show that the latent period of Internet worms and the immunity measure intensity are important factors to influence Internet worm propagation procedure.
随着计算机网络应用日益普及和复杂性的不断增加，网络蠕虫严重威胁着网络安全。
With the rapid growth of computer application and increasing complexities, the Internet worms are seriously threat the net- work security.
本文首先介绍了网络蠕虫的基本概念及其危害，提出了对网络蠕虫进行研究的意义。
This article first introduces the basic concepts of network worms, and to present the significance of the research.
网络蠕虫的频繁爆发带来了巨大的经济损失，使其逐渐成为信息安全领域的研究热点。
The frequent breakouts of Internet worms result in tremendous economic destruction, and worm research has become one of the focuses of information security field gradually.
与现有的网络蠕虫检测方法相比校，新方法更加有效，而且能够预警未知的网络蠕虫。
Comparing with the existing methods, our approach becomes more efficient, and has the characteristic of detecting the unknown Internet worms.
网络蠕虫研究的基本问题就是如何准确的刻画蠕虫传播特性，这是蠕虫防治研究的基础。
The basic problem of Internet worm research is how to depict the characteristic of worm propagation accurately, which is the foundation of anti-worm research.
网络蠕虫的研究已经成为近年来国际上在网络安全和信息安全领域最活跃的研究方向之一。
In recent years, the study on Internet worms has become one of the most active research topics in the field of network security and information security in the world.
本文研究网络蠕虫的早期检测和防护算法，以尽早地防范网络蠕虫，降低网络蠕虫对网络的损害。
This thesis focuses on early-stage detection and defending algorithms of worms, in order to defend against worms as early as quickly, and decrease the damage caused by it.
网络蠕虫一直是互联网面临的最重大的威胁之一，与传统病毒相比，它传播速度更快，破坏性更强。
Internet worm has been one of the most significant threats that Internet faced, Compared with traditional viruses, which spread faster, more destructive.
随着计算机技术和互联网的飞速发展，计算机病毒和网络蠕虫已成为计算机使用者面临的最大烦恼。
With the development of computer technology and Internet, computer virus and net worm have become the biggest trouble computer users faced.
通过自定义行为向量构造准确描述网络蠕虫行为的项目集，并利用遗传算法优化未知蠕虫行为模式挖掘结果。
The worms' behavior item collection is described accurately by defining behavior vector structure, and the unknown worm behavior profile mining is optimized using genetic algorithms.
实验结果表明，本文所设计的自适应蠕虫检测算法能够有效的检测网络蠕虫的传播，且具有较低的误报率和漏报率。
The result of experiments shows that our adaptive worm detection algorithm can effectively detect the spread of network worms, and has a low false alarm rate and omission rate.
随着网络应用的普及，网络蠕虫病毒成为人们关注的焦点，如何检测并阻止蠕虫病毒的传播和破坏也成为研究的热点。
With the popularity of network applications, network worms become the focus of attention, how to detect worms and how to prevent its spreading and destruction has became a research hotspot.
网络蠕虫作为一种典型的互联网攻击手段，具有攻击范围广、破坏力强并且难于清除的特点，近来已受到了高度的关注。
Internet worm attacks, as a typical attack method of the Internet, with a wide range of attacks and difficult to remove, recently drew a high degree of attention.
由于网络蠕虫泛滥产生的巨大危害，如何对网络蠕虫进行检测、预警和应对，已经成为计算机网络安全研究领域的一个重要课题。
Because of the huge damage of network worm epidemics, how to detect and response network worms has become an important task in computer network security field.
由于网络蠕虫泛滥产生的巨大危害，如何对网络蠕虫进行检测、预警和应对，已经成为计算机网络安全研究领域的一个重要课题。
Because of the huge damage of network worm epidemics, how to detect and response network worms has become an important task in computer network security field.
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