首页    期刊浏览 2024年11月26日 星期二
登录注册

文章基本信息

  • 标题:Intrusion Detection System Using Genetic Algorithm-A Review
  • 本地全文:下载
  • 作者:Sharmila Devi ; Ritu Nagpal
  • 期刊名称:International Journal of Computing and Business Research
  • 电子版ISSN:2229-6166
  • 出版年度:2012
  • 出版社:International Journal of Computing and Business Research
  • 摘要:Today we are suffering from many problems because of intruder interference in our communication with other person/organisation. We need a very safe and secure intrusion detection system. So, intrusion detection has become an important area of research The existing systems are not completely flawless and secure. So, there is the need to improve the existing system. In this paper, firstly we are discussing about the existing network intrusion detection system SNORT and its drawback then discuss about different research areas which were taking place to improve the performance of existing system with the help of genetic algorithm.
  • 关键词:Intrusion Detection System; Genetic Algorithm; Snort; Network attack; Denial of service
国家哲学社会科学文献中心版权所有