期刊
IEEE COMMUNICATIONS LETTERS
卷 22, 期 3, 页码 538-541出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/LCOMM.2018.2789896
关键词
Gini impurity; interest flooding attack; named data networking
资金
- NSFC [61422101]
- Fundamental Research Funds for the Central Universities [2016JBZ002, KG12-0276-01]
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.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据