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

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.