Wang Shangguang

Uncertain QoS-Aware Skyline Service Selection Based on Cloud Model

Because traditional QoS-aware Web service selection approach cannot ensure the reliability and the real-time of service selection,this paper proposes an uncertain QoS-aware Skyline service selection approach based on cloud model.The approach first uses cloud model to compute the uncertainty of QoS and then adopts Skyline computing to extract Skyline services from Web services to prune redundant services.Finally,mixed integer programming is employed to perform service selection from Skyline services.The study evaluates the approach experimentally using both real and synthetically generated datasets.The experimental results show that the proposed approach can accomplish service selection for users reliably and quickly.

ARM-CPD: Detecting SYN flooding attack by traffic prediction

This paper proposed an ARM-CPD scheme that is a simple but fast and effective approach to detect SYN flooding attacks. Instead of managing all real time ongoing traffic on the network, ARM-CPD only monitors the SYN packet and use it to predict the SYN packet in the near future to detect the SYN flooding attacks. To get the prediction SYN traffic, the Autoregressive Integrated Moving Average Model (ARIMA) is proposed; and to make the detection method insensitive to site and access pattern, a non-parametric Cumulative Sum (CUSUM) algorithm is applied. The trace-driven simulations demonstrate that ARM-CPD can shorten the detection time of SYN flooding attack effectively.