Despite the advances reached along the last 20 years, anomaly detection in network behavior is still an immature technology, and the shortage of commercial tools thus corroborates...
In this paper, we study the problem of anomaly detection in high-dimensional network streams. We have developed a new technique, called Stream Projected Ouliter deTector (SPOT), t...
In this work we propose a novel approach to anomaly detection in streaming communication data. We first build a stochastic model for the system based on temporal communication pa...
The frequent and large-scale network attacks have led to an increased need for developing techniques for analyzing network traffic. This paper presents NetViewer, a network measure...
We present the design, implementation, and evaluation of HeapMD, a dynamic analysis tool that finds heap-based bugs using anomaly detection. HeapMD is based upon the observation ...