期刊文献+

基于校园网协作式入侵检测系统模型研究

The Cooperative Intrusion Detection System Model Based on Campus Network
下载PDF
导出
摘要 该文通过对现有校园网络安全及入侵检测技术的分析,提出一种基于协议分析的分布式入侵检测方法,采用分布收集信息,分布处理多方协作的方式,将基于主机的IDS和基于网络的IDS结合使用,构筑面向大型网络的IDS;然后通过全局安全网络协作,收集拨号用户的信息,检查个体计算机是否存在漏洞、病毒,如果发现有就阻止其接入网络,强制其用到可信的网络修复系统或更新最新的病毒库后才可以正常接入校园网。这样通过网络和个体来确保整个校园网络的安全运行。 Through the existing analysis of network security and intrusion detection technology, this paper puts forward a cooperative intrusion detection method. This new method collects information distributedly, processes in multilateral cooperation, and constructs the large-network IDS. Then, it collects the information from dialing users to detect whether there are vulnerabilities and vims in individual or not. By means of such functions, this method only permits the users with reliable network repairing system or with the updated latest virus library to access to the campus network. Only this can assure the safe operation of the whole campus network via the net and individuals.
作者 黎昂 胡小龙
出处 《电脑知识与技术》 2008年第11期800-802,共3页 Computer Knowledge and Technology
关键词 校园网 网络安全 入侵检测 campus network network security intrusion detection
  • 相关文献

参考文献1

二级参考文献7

  • 1[3]Lippmann R;Cunningham R. Improving intrusion detection performance using keyword selection and neural network[C]. Proceedings. RAID'99,1999 被引量:1
  • 2[4]Lee, S.C.; Heinbuch, D.V. Training a neural-network based intrusion detector to recognize novel attacks[J]. IEEE Transactions on Systems, Man and Cybernetics, Part A, Volume: 31 Issue: 4 , July 2001, pp 294 -299 被引量:1
  • 3[5]J Balasubramaniyan, J Omar Garcia-Fernandez, D Isacoff, E Spafford, D Zamboni. An architecture for intrusion detection using autonomous agents[C].Proceedings of the 14th Computer Security Applications Conference, 1998. pp 13-24 被引量:1
  • 4[6]Frincke D, Don Tobin, Jesse McConnell et al. A framework for cooperative intrusion detection[C]. Proceedings of the 21st National Information Systems Security Conference, 1998, pp 361-373 被引量:1
  • 5[7]Jungwon Kim; Bentley, P.J. Towards an artificial immune system for network intrusion detection: an investigation of clonal selection with a negative selection operator[C] .Proceedings of the 2001 Congress on Evolutionary Computation. Volume: 2 , 2001, pp1244 -1252 被引量:1
  • 6蒋建春,马恒太,任党恩,卿斯汉.网络安全入侵检测:研究综述[J].软件学报,2000,11(11):1460-1466. 被引量:370
  • 7胡华平,陈海涛,黄辰林,唐勇.入侵检测系统研究现状及发展趋势[J].计算机工程与科学,2001,23(2):20-25. 被引量:53

共引文献15

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部