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首页> 外文期刊>Journal of information and optimization sciences >Gini impurity based NDN cache pollution attack defence mechanism
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Gini impurity based NDN cache pollution attack defence mechanism

机译：基尼杂质基于NDN高速缓存污染攻击防御机制

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摘要

Name Data Network (NDN) is a futuristic Internet architecture that delivers content based on strategically chosen names and caches content on intermediate routers in the content-delivery path, which is used to fulfill future requests for the same data. In-network caching significantly improves network throughput but also makes NDN vulnerable to revamp security attacks such as cache poisoning, cache pollution, and cache snooping. In this paper, we focused on content pollution attack, in which the attacker disrupts the cache locality by intelligently crafted fake requests. This paper introduce monitor metrics for quantitative anomaly detection of requests and proposed a scheme based on Gini Impurity to detect network under cache pollution attack. The paper also proposed an Interest throttling mechanism based on trust to reinforce network under cache pollution attacks. The proposed scheme is evaluated through various experiments on NdnSIM simulator.
机译：名称数据网络（NDN）是一种未来型Internet架构，可根据内容 - 传送路径中的中间路由器上的策略性所选择的名称和缓存内容提供内容，该架构用于满足同一数据的未来请求。在网络中缓存显着提高了网络吞吐量，但也使NDN易于改进安全攻击，例如缓存中毒，缓存污染和缓存窥探。在本文中，我们专注于内容污染攻击，其中攻击者通过智能制作的假请求扰乱缓存局部。本文介绍了监测指标，用于定量异常检测请求，并提出了一种基于GINI杂质的方案来检测缓存污染攻击下的网络。本文还提出了一种基于对缓存污染攻击加强网络的基于信任的利益节流机制。通过关于NDNSIM模拟器的各种实验来评估所提出的方案。

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