首页    期刊浏览 2024年11月07日 星期四
登录注册

文章基本信息

  • 标题:Security Analysis Using IDs Based on Mobile Agents and Data Mining Algorithms
  • 本地全文:下载
  • 作者:Chaimae Saadi ; Habiba Chaoui Mejhed ; Hassan Erguig
  • 期刊名称:International Journal of Computer Science and Information Technologies
  • 电子版ISSN:0975-9646
  • 出版年度:2015
  • 卷号:6
  • 期号:1
  • 页码:597-602
  • 出版社:TechScience Publications
  • 摘要:The evolution of information systems requires the implementation of a high level of security to minimize the problems associated with these systems. Previous work have integrated intrusion detection systems ‘‘traditional’’ who have shown limited results. To remedy this problem, this work merges the two detection strategies "scenario approach and behavioral approach" in IDS chosen, by using a new IDS architecture through the development of mobile agents in the JADE platform by integrating data mining algorithms types clustering and density. Indeed, tests show that this new IDS increases the rate of detection and reduce the false positive rate, which is the perspective of performing these results.
  • 关键词:intrusion; intrusion detection system; data mining;algorithms; mobile agent
国家哲学社会科学文献中心版权所有