首页    期刊浏览 2025年08月17日 星期日
登录注册

文章基本信息

  • 标题:DETECTION OF DDOS ATTACKS USING DATA MINING
  • 本地全文:下载
  • 作者:KANWAL GARG ; RSHMA CHAWLA
  • 期刊名称:International Journal of Computing and Business Research
  • 电子版ISSN:2229-6166
  • 出版年度:2011
  • 卷号:2
  • 期号:1
  • 出版社:International Journal of Computing and Business Research
  • 摘要:Distributed Denial of Service (DDoS) attacks are large-scale cooperative attacks launched from a large number of compromised hosts called Zombies is a major threat to Internet services. Popular web sites such as Yahoo, CNN, and Amazon, are among the well-known victims of DDoS attacks. Large number of companies transacting online are mainly facing the considerable loss as they are being targeted to DDoS attacks. Therefore, keeping this problem in view author presents various significant areas where data mining techniques seem to be a strong candidate for detecting and preventing DDoS attack
  • 关键词:Distributed Denial of Service attack; Data mining; Zombies
国家哲学社会科学文献中心版权所有