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Impact of Memory DoS Attacks on Cloud Applications and Real-Time Detection Schemes

机译:内存DOS攻击对云应用的影响和实时检测方案

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In this poster, we present measurement studies of the impact of memory DoS attacks on different types of cloud-based applications. Based on the observations, we propose a lightweight, responsive Statistical based Detection Scheme (SDS) that can detect such attacks accurately. Our initial evaluation results show that SDS outperforms the state-of-the-art detection scheme up to 2% higher recall, up to 65% higher specificity, and up to 40% shorter detection delay.
机译:在这张海报中,我们展示了记忆DOS攻击对不同类型的基于云应用的影响的测量研究。基于观察,我们提出了一种轻量级,响应统计的基于统计检测方案(SDS),其可以准确地检测此类攻击。我们的初始评估结果表明,SDS优于最先进的检测方案高达2%的召回,特异性高达65%,检测延迟较短至多40%。

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