一種基于接口異常度可信判斷的內(nèi)容中心網(wǎng)絡緩存污染防御方法
發(fā)布時間:2018-07-26 13:13
【摘要】:針對內(nèi)容中心網(wǎng)絡的緩存污染攻擊問題,提出一種基于接口異常度可信判斷的限速機制,根據(jù)接口異常度檢測緩存污染攻擊類型,并結合接口命中率對異常接口進行限速控制.仿真結果表明,該機制可以同時防御緩存惡意侵占(Locality-Disruption)和虛假內(nèi)容緩存(False-Locality)2種攻擊,且通過引入False-Locality攻擊的可信度判斷,可大概率區(qū)分異常的False-Locality攻擊和正常的突發(fā)擁塞事件,避免錯誤抑制Flash Crowd網(wǎng)絡行為.
[Abstract]:In order to solve the problem of cache pollution attack in content-centric network, a speed limiting mechanism based on credible judgment of interface anomaly degree is proposed, which detects cache contamination attack type according to interface anomaly degree, and controls the speed limit of abnormal interface based on interface hit ratio. The simulation results show that the mechanism can protect against both Locality-Disruption and False-Locality attacks, and by introducing the credibility of False-Locality attacks, it is possible to distinguish abnormal False-Locality attacks from normal burst congestion events. Avoid error suppression of Flash Crowd network behavior.
【作者單位】: 江蘇大學計算機科學與通信工程學院;
【基金】:國家自然科學基金項目(41474095)
【分類號】:TP393.08
本文編號:2146120
[Abstract]:In order to solve the problem of cache pollution attack in content-centric network, a speed limiting mechanism based on credible judgment of interface anomaly degree is proposed, which detects cache contamination attack type according to interface anomaly degree, and controls the speed limit of abnormal interface based on interface hit ratio. The simulation results show that the mechanism can protect against both Locality-Disruption and False-Locality attacks, and by introducing the credibility of False-Locality attacks, it is possible to distinguish abnormal False-Locality attacks from normal burst congestion events. Avoid error suppression of Flash Crowd network behavior.
【作者單位】: 江蘇大學計算機科學與通信工程學院;
【基金】:國家自然科學基金項目(41474095)
【分類號】:TP393.08
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