首页    期刊浏览 2025年02月26日 星期三
登录注册

文章基本信息

  • 标题:Botnet Detection Technology Based on DNS
  • 本地全文:下载
  • 作者:Xingguo Li ; Junfeng Wang ; Xiaosong Zhang
  • 期刊名称:Future Internet
  • 电子版ISSN:1999-5903
  • 出版年度:2017
  • 卷号:9
  • 期号:4
  • 页码:55
  • DOI:10.3390/fi9040055
  • 语种:English
  • 出版社:MDPI Publishing
  • 摘要:With the help of botnets, intruders can implement a remote control on infected machines and perform various malicious actions. Domain Name System (DNS) is very famous for botnets to locate command and control (C and C) servers, which enormously strengthens a botnet’s survivability to evade detection. This paper focuses on evasion and detection techniques of DNS-based botnets and gives a review of this field for a general summary of all these contributions. Some important topics, including technological background, evasion and detection, and alleviation of botnets, are discussed. We also point out the future research direction of detecting and mitigating DNS-based botnets. To the best of our knowledge, this topic gives a specialized and systematic study of the DNS-based botnet evading and detecting techniques in a new era and is useful for researchers in related fields.
  • 关键词:botnet; DNS; fast flux; domain flux; DGA; C and C botnet ; DNS ; fast flux ; domain flux ; DGA ; C and C
国家哲学社会科学文献中心版权所有