检测效率

• The effect of mud on the performence of system can be considered the mud ' s efficience obtained by the link simulation , which depends on the algorithm of the mud , and the system multiplexing factor which depends on all kinds of factors related to the radio propagation environment in the cell network system planning , for example the cell scale , channel model , the system load and the user distribution
  随后对影响多用户检测效率的干扰相消效率和系统复用因子两个因素进行了全面而深入的分析。其中前者与接收机采用的mud算法有关，一般通过链路仿真得到其结果，后者主要与蜂窝系统规划设计中各种与环境相关的因素有关，如小区尺寸、信道模型、系统负载、用户分布。
• One is to apply the principle of signal processing and noise cancellation to the field of intelligent intrusion detection , design kalman - filter based and ann - filter based algorithms . the testing of these algorithms indicates they have a good performance in certain condition . the other is to apply the technology of data mining to intelligent intrusion detection , detailedly discuss association analysis , and finally test it with a group of d ata from kdd - 99
  本文结合kalman滤波、人工神经网络和数据挖掘等技术，对智能入侵检测技术进行了详细研究，这些研究主要集中在两点，一个是将信号处理与信号去噪的基本理论应用到入侵检测领域里，设计了基于kalman滤波的和基于人工神经网络滤波的入侵检测算法，并对这些算法进行了数据实验，取得了良好的效果；另一个是对数据挖掘技术在入侵检测里的应用进行了探索和研究，并详细研究了关联分析技术在ids中的应用，并对相关的apriori算法进行了改进，提高了检测效率。
• The threats of the security of raiiway freight mostly come from cargoes exceeding over the railway gauge which caused by loading , collision , braking and shaking etc . today , the loading situation is most iy checked manua my , wh i ch can on iy check the ioad i ng s i tuat i on of the static freight train with the low efficiency and precision
  随着铁路安全技术装备的完善，现在铁路运营安全的主要威胁来自因装载、冲撞、制动、震动等因素引起的货车所载货物超出铁路货运装载限界。目前，我国铁路货运管理部门主要采用人工测量方法来检测货车超限情况。但是人工测量只能实现对静止货车装载情况的检测，并且检测效率低，检测精度也难以保障。
• Then , the paper present a protocol misusage ids in application layer based on markov chain , and obtain the following results after test : the system can have good effection on detecting the probe packet , dos attack and novelty attack . the system can overcome part of disadvantages in traditional intrusion detection system , and adapt requirements with different network . the experiment shows that the system can improve the detection accuracy rate , reduce the false negatives probability
  通过对检测系统的测试分析,系统对扫描探测报文、 dos攻击报文和新的攻击报文等有较好的检测率。基于马尔可夫链建立的网络异常检测系统可以克服传统入侵检测系统的部分缺陷,能够适应不同网络环境的要求,同时也有效提高了系统的检测能力和检测效率,降低了误报率。
• Next , introduct the technology of the protocol analysis . it means when examin the data packet , wo can use the protocol analysis technology to distinguish the protocol type of the data , then use the corresponding data analysis procedure to examin the data packet . so the examination efficiency can improved . finally , the k - r algorithm used for system data analysis module is parallelized design . and through the comparision the original algorithm and parallel algorithm , we can find that under the
  即在对截获的数据包进行检测时,先使用协议分析的技术辨别数据包的协议类型,再使用相应的数据分析程序来检测数据包,从而提高了系统的检测效率; 5 )对系统数据分析模块中使用的k - r模式匹配算法进行了并行化设计,并比较了原算法和并行算法的时间复杂度和执行代价。
• According to the theory of data mining and intrusion detection , adaptive intrusion detection is realized ultimately in accordance with procedures of data mining as follow : attribute reduction pretreatment , rules generation , efficiency improvement of intrusion detection , amg system design
  安徽大学2以”年硕士学位论文摘要本文从基本的数据挖掘和人侵检测原理出发，按照数据挖掘的过程通过属性约简的预处理，规则生成，检测效率改进等步骤，最终实现自适应人侵检测。
• Applying generalized gaussian distribution to statistical model of the alternating current coefficient of discrete cosine transform , an adaptive blind watermark detection algorithm is presented on the basis of sign detector and linear correlate detector and its probability efficiency is deduced
  摘要根据数字图像离散余弦变换域交流系数的广义高斯分布模型，在符号检测器和线性相关检测器的基础上，提出一种盲水印自调节的检测算法，并推导出该检测器有较高的检测效率。
• There are a lot of threatening factors and means in real situations changing quickly so that the mass of the present nids can " t change their rules to figure out whether the action is an intrusion . therefore many nids do not work under the practical circumstances for most of the intrusions
  但是一方面由于实用环境中威胁网络安全的因素多并且变化快；另一方面由于现有的实用网络入侵检测系统( nids )的检测效率问题和检测标准更新的非动态性，使得绝大多数nids经不起实用环境的考验。
• Ids focuses on data , whereas traditional ids technique can ’ t adapt a great deal of data and enhance the detection efficiency . however , data mining can mine specified patterns in which people are interested from large datasets . therefore , data mining technique is applied for intrusion detection in large number of research projects , which greatly promote the development of intrusion detection
  入侵检测是以数据为中心的,传统的检测技术不能很好的适应现代大量的数据和提高检测效率的需要,而数据挖掘能够从海量数据集中挖掘出人们感兴趣的特定模式,因此,有大量的研究计划将数据挖掘技术运用到入侵检测中,这些研究大大推动了入侵检测研究领的快速发展。