基于人工免疫的网络安全模型

基于免疫原理提出了一种新的网络安全模型及其体系结构.该模型通过免疫识别发现入侵,并根据抗体的浓度判断入侵的威胁程度,实时地实现入侵检测和风险评估;同时,将本地检测出的入侵信息封装为疫苗,通过疫苗的发送使相邻的网络也具有对该类入侵的免疫能力.     

智能电网中分层网络结构的入侵检测系统研究

为了提高智能电网的安全性和可靠性,将入侵检测系统运用到智能电网中.针对智能电网具有网络节点多、信息传输量大、安全要求高等特点,提出一种基于多Agent的入侵检测系统模型,并将该模型部署到智能电网的分层网络结构中,以减少数据传输,节约带宽,解决速度瓶颈问题;针对入侵检测的误检率高、漏检率高等问题,提出适合智能电网的动态克隆选择算法,将所提算法与多Agent技术相结合,构造了具有免疫功能的Agent.利用标准的入侵检测测试数据集——KDD’99数据集——对所提模型和算法进行仿真验证,结果表明:本系统在保证低误检率的同时,提高了智能电网中常见的Dos和Probing类型攻击的检测率.     

数据挖掘技术在新型网络入侵检测模型中的应用研究

随着互联网和计算机的普及应用,网络黑客和木马病毒日益泛滥,入侵检测已经成为网络安全管理的有效手段。本文将数据挖掘技术应用于网络入侵检测模型中,提出了新型模型的构建方案。     

支持向量机在入侵检测中的应用研究

介绍支持向量机和入侵检测的有关知识,从系统的有效性、可适应性和可扩展性的角度分析孝前入侵检测系统存在的问题以及将支持向量机应用于入侵检测系统的优点,同时提出一种基于支持向量机的入侵检测系统模型,并描述了该模型体系结构及其主要功能。     

数据挖掘在食管癌和贲门癌研究中的应用

结合食管癌和贲门癌研究中的普查数据的特点和数据挖掘过程中对数据的要求,讨论了普查数据的预处理、频繁项集的挖掘及挖掘结果分析,认为利用数据挖掘技术处理普查数据,从而得到频繁出现的病理特征,对癌症研究有重要意义.     

一种基于Linux的网络入侵检测系统

设计了一种基于Linux的网络入侵检测系统.介绍了系统对攻击行为的识别、入侵检测程序中的数据结构设计以及入侵检测模块设计和关键程序设计.该系统可用于检测Synflood攻击、Teardrop攻击、Land攻击、Smurf攻击和Ping of Death攻击,以及ICMP,TCP,UDP的扫描.     

一种新的基于Apriori算法的加权关联规则挖掘算法

针对New-Apriori算法的不足之处,提出了一种新的挖掘加权频繁项集的算法——MWFS算法,该算法能有效挖掘出含有权重较大项目的加权频繁项集,其挖掘结果更具有价值.     

一种新的基于Apriori算法的加权关联规则挖掘算法

针对New-Apriori算法的不足之处,提出了一种新的挖掘加权频繁项集的算法——MWFS算法,该算法能有效挖掘出含有权重较大项目的加权频繁项集,其挖掘结果更具有价值.     

一种新的基于Apriori算法的加权关联规则挖掘算法

针对New-Apriori算法的不足之处,提出了一种新的挖掘加权频繁项集的算法--MWFS算法,该算法能有效挖掘出含有权重较大项目的加权频繁项集,其挖掘结果更具有价值.     

应用Web数据挖掘技术进行电子商务的分析

电子商务是一种新型的商务营销模式。Web数据挖掘处理技术在电子商务中的应用是一种比较流行的应用方式,并且也是电子商务中重要的研究领域。本文主要叙述了web技术应用与电子商务中的基本过程,以及在电子商务领域中怎样施工web数据挖掘技术。     

一个新的数据挖掘模型与算法

在数据挖掘中,规模巨大的候选模式是约束系统性能的瓶颈,为解决该问题,提出了一个新的数据挖掘结构FP-tree及相应的构造算法FP-growth,实验测试证明,利用FP-growth算法可以发现FP-tree中所有的强模式,此外,与Aprior算法相比,该算法性能稳定,具有较高的运行效率,为数据挖掘技术的实现提出了一种新的思路。     

Near-infrared spectroscopy (NIRS) of epilithic material in streams has a potential for monitoring impact from mining

There is an increasing demand for cost-effective methods for environmental monitoring, and here we assess the potential of near-infrared spectroscopy (NIRS) on epilithic material from streams (material covering submerged stones) as a new method for monitoring the impact of pollution from mining and mining-related industries. NIRS, a routine technique in industry, registers the chemical properties of organic material on a molecular level and can detect minute alterations in the composition of epilithic material. Epilithic samples from 65 stream sites (42 uncontaminated and 23 contaminated) in northern Sweden were analyzed. The NIRS approach was evaluated by comparing it with the results of chemical analyses and diatom analyses of the same samples. Based on Principal Component Analysis, the NIRS data distinguished contaminated from uncontaminated sites and performed slightly betterthan chemical analyses and clearly betterthan diatom analyses. Of the streams designated a priori as contaminated, 74% were identified as contaminated by NIRS, 65% were identified by chemical analysis, and 26% were identified by diatom analysis. Unlike chemical analyses of water samples, NIRS data reflect biological impacts in the streams, and the epilithic material integrates impact over time. Given that, and the simplicity of NIRS-analyses, further studies to assess the use of NIRS of epilithic material as an inexpensive environmental monitoring method are justified.     

How many mountains can we mine? Assessing the regional degradation of central appalachian rivers by surface coal mining

Surface coal mining is the dominant form of land cover change in Central Appalachia, yet the extent to which surface coal mine runoff is polluting regional rivers is currently unknown. We mapped surface mining from 1976 to 2005 for a 19,581 km(2) area of southern West Virginia and linked these maps with water quality and biological data for 223 streams. The extent of surface mining within catchments is highly correlated with the ionic strength and sulfate concentrations of receiving streams. Generalized additive models were used to estimate the amount of watershed mining, stream ionic strength, or sulfate concentrations beyond which biological impairment (based on state biocriteria) is likely. We find this threshold is reached once surface coal mines occupy >5.4% of their contributing watershed area, ionic strength exceeds 308 μS cm(-1), or sulfate concentrations exceed 50 mg L(-1). Significant losses of many intolerant macroinvertebrate taxa occur when as little as 2.2% of contributing catchments are mined. As of 2005, 5% of the land area of southern WV was converted to surface mines, 6% of regional streams were buried in valley fills, and 22% of the regional stream network length drained watersheds with >5.4% of their surface area converted to mines.     

基于兴趣度剪枝的Apriori优化算法

鉴于关联规则挖掘中的Apriori算法在挖掘潜在有价值、低支持度模式时效率较低,因此提出一种优化的Apriori挖掘算法,即在频繁项集挖掘中引入项项正相关兴趣度量剪枝策略,有效过滤掉非正相关长模式和无效项集,从而扩大了可挖掘支持度阈值范围.实验结果表明,该算法是有效和可行的.     

基于FP-Growth算法的毕业生管理系统应用

将频繁项集挖掘算法中的FP-Growth算法应用到毕业生信息管理系统中,算法采用FP树对事务数据集进行压缩存储,然后再利用FP树得到所有的频繁项集.该系统可从大量的毕业生信息出发,找出就业信息与教育信息之间的关系,从而为决策者提供指导或数据支持.     

Model simulations of particle aggregation effect on colloid exchange between streams and streambeds

Colloids found in natural streams have large reactive surface areas, which makes them significant absorbents and carriers for pollutants. Stream-subsurface exchange plays a critical role in regulating the transport of colloids and contaminants in natural streams. Previous process-based multiphase exchange models were developed without consideration of colloid-colloid interaction. However, many studies have indicated that aggregation is a significant process and needs to be considered in stream process analysis. Herein, a new colloid exchange model was developed by including particle aggregation in addition to colloid settling and filtration. Self-preserving size distribution concepts and classical aggregation theory were employed to model the aggregation process. Model simulations indicate that under conditions of low filtration and high degree of particle-particle interaction, aggregation could either decrease or increase the amount of colloids retained in streambeds, depending on the initial particle size. Thus, two possible cases may occur including enhanced colloid deposition and facilitated colloid transport. Also, when the aggregation rate is high and filtration increases, more particles are retained by bed sediments due to filtration, and fewer are aggregated, which reduces the extent of aggregation effect on colloid deposition. The work presented here will contribute to a better understanding and prediction of colloid transport phenomena in natural streams.