A Gini Impurity-Based Interest Flooding Attack Defence Mechanism in NDN
A Gini Impurity-Based Interest Flooding Attack Defence Mechanism in NDN
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DOI：
10.1109/lcomm.2018.2789896
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发表时间：
2018-01
期刊：
影响因子：
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通讯作者：
Ting Zhi;Hongbin Luo;Y. Liu
中科院分区：
文献类型：
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作者：
Ting Zhi;Hongbin Luo;Y. Liu
兴趣泛滥攻击(IFA)通过压倒内容路由器的未决兴趣表，严重危害命名数据网络。在这封信中，我们提出了一种能够有效检测IFA的基于基尼杂质的IFA检测机制，以及一种能够区分恶意利益和合法利益的恶意利益识别机制。此外，我们还对该机制的性能进行了评估。仿真结果验证了该机制能够准确检测并有效抑制噪声干扰。
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.