基于关联规则挖掘的Q-CFIsL算法在网络入侵检测系统中的应用

针对关联规则挖掘算法在处理海量数据的过程中存在效率低、需要反复访问数据库等问题,以及在入侵检测系统产生误报、效率低下等问题,文章提出了基于关联规则挖掘的Q—CFIsL算法,设计了基于Q—CHsL算法的入侵警报检测系统模型。实验证明,Q-CFIsL算法在减少入侵警报的数量和降低误报率等方面明显优于其他算法,     

基于snort的数据库分析

文章简要介绍了snort系统的数据库结构,对数据库中一些常用到的表之间的关系和表属性进行了说明,为在snort基础上开发基于网络的入侵检测系统(NIDS)分析平台提供了一些数据库信息。     

状态协议分析技术在NIDS中的实现研究

随着人类社会生活对Internet需求的日益增长,网络安全逐渐成为Internet及各项网络服务和应用进一步发展所需解决的关键问题。入侵检测作为一种积极主动防御的网络技术,已经成为网络防护安全体系中的重要组成部分。首先比较了各种入侵检测技术,提出了利用基于状态的协议分析技术检测多步骤等复杂攻击的有效性,但面对高速发展的网络,也提出了这种深度检测的技术存在着的弊端。     

Poor health as a precursor to consumer debt distress in South Africa

While it is well documented that severe consumer indebtedness can lead to mental and physical health problems including unhealthy coping mechanisms, the pathways from poor health to financial strain is still an understudied area. Using the National Income Dynamics Study (NIDS) data, this study examines the relationship between poor health and debt distress while controlling for the possible endogeneity between these two conditions and some health-related variables. The results indicate that poor health significantly increases the probability of financial strain. Insofar as poor health is associated with catastrophic healthcare costs and income deprivation, for instance through inability to work, other factors affecting health such as socioeconomic status and insurance might shape the contours of consumers’ debt performances in the face of health risk. Ultimately, health may be creating a vicious circle in which poor health affects the capacity to earn income and accumulate assets, which limits access to quality healthcare.