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  • 标题:An Anti-DoS Duplicate Address Detection Model
  • 本地全文:下载
  • 作者:GuangJia Song ; JianHua Hu ; Hui Wang
  • 期刊名称:Engineering Letters
  • 印刷版ISSN:1816-093X
  • 电子版ISSN:1816-0948
  • 出版年度:2022
  • 卷号:30
  • 期号:2
  • 页码:652-658
  • 语种:English
  • 出版社:Newswood Ltd
  • 摘要:Duplicate address detection (DAD) is a necessary process before the host uses a new IP address to ensure its uniqueness. In the traditional DAD process, the detection target is public, thus making the detection process vulnerable to attacks, especially to denial-of-service attacks. A new detection method called Se-DAD is proposed in this paper to improve the security of DAD. In Se-DAD, the detected target is not disclosed to prevent the attacking node from forging a spoofing response. The hidden source MAC address also effectively prevents DoS attacks. Experiments show that Se-DAD is better than the previous detection methods considering address configuration failure rate, CPU, and memory overhead.
  • 关键词:duplicate address detection;address resolution;neighbor discovery;SEND;denial of service
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