[1]王峰 宗平.面向混合入侵检测策略的应用模型研究[J].计算机技术与发展,2011,(07):149-152.
　WANG Feng,ZONG Ping.Study of Mixed Model Oriented Intrusion Detection[J].,2011,(07):149-152.
点击复制

面向混合入侵检测策略的应用模型研究()
分享到：

《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
期数:
2011年07期
页码:
149-152
栏目:
安全与防范
出版日期:
1900-01-01

文章信息/Info

Title:
Study of Mixed Model Oriented Intrusion Detection
文章编号:
1673-629X（2011）07-0149-04
作者:
王峰 宗平
南京邮电大学物联网学院
Author(s):
WANG Feng; ZONG Ping
College of Internet of Things,Nanjing University of Posts and Telecommunications
关键词:
网络安全; 入侵检测; 模型
Keywords:
network security;  intrusion detection;  model
分类号:
TP309
文献标志码:
A
摘要:
入侵检测是为了确保计算机系统和网络系统的安全而设计和配置的,其设置意图是为了能够及时发现并报告系统中的异常现象或未授权行为,主要用于检测计算机网络中违反安全策略的行为。入侵检测系统通过寻找恶意行为的迹象来监控计算机网络。基于入侵检测的准确性和完备性考虑,给出了一种面向标志入侵检测和异常入侵检测的混合入侵检测系统模型,并说明了相关的设计与实现技术。分析表明该模型相对于单策略的检测手段,具有更好的检测效果
Abstract:
Intrusion detection technology is designed and configured to ensure the computer system and network system security,its purpose is to discover in time and report abnormal phenomenon or unauthorized act in system,mainly used in the detection of behavior which breaches security strategy in computer network.Intrusion detection system monitors computer network by looking for signs of malicious behavior.It gives a kind of mixing intrusion detection system model oriented the sign intrusion detection and abnormal intrusion detection,and illustrates the related technologies of the design and implementation.The analysis shows that the model has better detection effect than the single strategy detection means

相似文献/References:

[1]李雷 丁亚丽 罗红旗.基于规则约束制导的入侵检测研究[J].计算机技术与发展,2010,(03):143.
　LI Lei,DING Ya-li,LUO Hong-qi.Intrusion Detection Technology Research Based on Homing - Constraint Rule[J].,2010,(07):143.
[2]马志远,曹宝香.改进的决策树算法在入侵检测中的应用[J].计算机技术与发展,2014,24(01):151.
　MA Zhi-yuan,CAO Bao-xiang.Application of Improved Decision Tree Algorithm in Intrusion Detection System[J].,2014,24(07):151.
[3]高峥 陈蜀宇 李国勇.混合入侵检测系统的研究[J].计算机技术与发展,2010,(06):148.
　GAO Zheng,CHEN Shu-yu,LI Guo-yong.Research of a Hybrid Intrusion Detection System[J].,2010,(07):148.
[4]林英 张雁 欧阳佳.日志检测技术在计算机取证中的应用[J].计算机技术与发展,2010,(06):254.
　LIN Ying,ZHANG Yan,OU Yang-jia.Application of Log Testing Technology in Computer Forensics[J].,2010,(07):254.
[5]李钦 余谅.基于免疫遗传算法的网格入侵检测模型[J].计算机技术与发展,2009,(05):162.
　LI Qin,YU Liang.Grid Intrusion Detection Model Based on Immune Genetic Algorithm[J].,2009,(07):162.
[6]黄世权.网络存储安全分析[J].计算机技术与发展,2009,(05):170.
　HUANG Shi-quan.Analysis of Network Storage＇s Safety[J].,2009,(07):170.
[7]李睿 肖维民.基于孤立点挖掘的异常检测研究[J].计算机技术与发展,2009,(06):168.
　LI Rui,XIAO Wei-min.Research on Anomaly Intrusion Detection Based on Outlier Mining[J].,2009,(07):168.
[8]胡琼凯 黄建华.基于协议分析和决策树的入侵检测研究[J].计算机技术与发展,2009,(06):179.
　HU Oiong-kai,HUANG Jian-hua.Intrusion Detection Based on Protocol Analysis and Decision Tree[J].,2009,(07):179.
[9]汪世义.基于优化支持向量机的网络入侵检测技术研究[J].计算机技术与发展,2009,(07):177.
　WANG Shi-yi.Network Intrusion Detection Based on Improved Support Vector Machine[J].,2009,(07):177.
[10]严华 蔡瑞英.即时通信监控系统的设计与实现[J].计算机技术与发展,2009,(07):242.
　YAN Hua,CAI Rui-ying.Design and Implementation of Monitoring System of Instant Messaging[J].,2009,(07):242.
[11]李生 邓一贵 唐学文 潘磊 林玉香.基于移动代理的分布式入侵检测系统的研究[J].计算机技术与发展,2009,(09):132.
　LI Sheng,DENG Yi-gui,TANG Xue-wen,et al.Research of Mobile Agent - Based Distributed Intrusion Detection System[J].,2009,(07):132.
[12]邵晓宇 杨善林 褚伟.基于Linux入侵检测动态防火墙的设计与实现[J].计算机技术与发展,2008,(05):156.
　SHAO Xiao-yu,YANG Shan-lin,CHU Wei.Design and Implementation of Dynamic Intrusion Detection Firewall Based on Linux[J].,2008,(07):156.
[13]李守国 李俊.基于数据挖掘的入侵检测系统设计[J].计算机技术与发展,2006,(04):212.
　LI Shou-guo,LI Jun.Design of Data Mining Based Intrusion Detection System[J].,2006,(07):212.
[14]陈建锐 何增颖 梁永成.IPv6网络入侵检测系统设计[J].计算机技术与发展,2010,(09):123.
　CHEN Jian-rui,HE Zeng-ying,LIANG Yong-cheng.Design of Network Intrusion Detection System on IPv6[J].,2010,(07):123.
[15]李建 李杰 孙燕花.基于聚类融合的入侵检测[J].计算机技术与发展,2011,(10):250.
　LI Jian,LI Jie,SUN Yan-hua.An Intrusion Detection Based on Clustering Ensemble[J].,2011,(07):250.
[16]谢振国 凌捷.网络安全预警系统的研究[J].计算机技术与发展,2011,(11):250.
　XIE Zhen-guo,LING Jie.Study of a Network Security and Early-Warning System[J].,2011,(07):250.
[17]陈剑,蔡龙征.一种无监督异常入侵检测的簇异常度量方法[J].计算机技术与发展,2013,(04):131.
　CHEN Jian,CAI Long-zheng.A Cluster Anomaly Measure Approach for Unsupervised Anomaly Intrusion Detection[J].,2013,(07):131.
[18]姜参,王大伟.一种改进蚁群聚类的入侵检测方法[J].计算机技术与发展,2013,(12):139.
　JIANG Shen,WANG Da-wei.An Improved Ant Colony Clustering Method for Intrusion Detection[J].,2013,(07):139.
[19]张公让,万飞. 基于网格搜索的 SVM 在入侵检测中的应用[J].计算机技术与发展,2016,26(01):97.
　ZHANG Gong-rang,WAN Fei. Application of Support Vector Machine in Network Intrusion Detection Based on Grid Search[J].,2016,26(07):97.
[20]严佩敏,姚嘉豪.SDN 下基于入侵检测的主动蜜网[J].计算机技术与发展,2021,31(增刊):96.[doi:10. 3969 / j. issn. 1673-629X. 2021. S. 019]
　YAN Pei-min,YAO Jia-hao.Active Honeynet Based on Intrusion Detection System in Software Defined Network[J].,2021,31(07):96.[doi:10. 3969 / j. issn. 1673-629X. 2021. S. 019]

备注/Memo

备注/Memo:
江苏省科技支撑项目（BE2009157）王峰（1983-），男，硕士研究生，研究方向为计算机网络；宗平，博士，教授，研究方向为计算机网络、信息安全等
更新日期/Last Update: 1900-01-01