Changhua Sun

We propose a modern machine learning paradigm to estimate the win-propensity of sales leads over time, coupled with lead's personalized profiles. Expand

We introduce a simple, unified and easy to use interface for service deployment by encapsulating entire custom environments, and resolving the execution policy constraints and inter-dependencies through pre-installing the software applications. Expand

We propose an efficient and low-cost hardware approach to defend against the DNS amplification attacks at the leaf router of victim's ISP or organization. Expand

We propose a more robust scheme to detect SYN flooding attacks. Expand

We propose a more accurate and fast SYN flood detection method, named SACK 2 , which could detect all kinds of SYN Flood attacks with limited implementation costs. Expand

In this paper, we develop a novel scheme, namely, Flow Slice (FS) that cuts off each flow into flow slices at every intraflow interval larger than a slicing threshold and balances the load on a finer granularity. Expand

We propose a machine learning-based unified framework for data-driven sales opportunity win propensity prediction, aimed at addressing these challenges. Expand