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A gini impurity-based interest flooding attack defence mechanism in NDN

  • Ting Zhi
  • , Hongbin Luo
  • , Ying Liu*
  • *此作品的通讯作者
  • Beijing Jiaotong University

科研成果: 期刊稿件文章同行评审

摘要

Interest flooding attacks (IFAs) seriously harm named data networking by overwhelming the pending interest table of a content router. In this letter, we propose a Gini impurity-based IFA detection mechanism that can effectively detect IFAs, and a malicious Interest recognition mechanism that can distinguish the malicious Interests with legitimate ones. In addition, we evaluate the performance of our mechanism. The simulation results validate that the mechanism can accurately detect and effectively mitigate IFAs.

源语言英语
页(从-至)538-541
页数4
期刊IEEE Communications Letters
22
3
DOI
出版状态已出版 - 3月 2018

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