Robust statistical learning based web spam detection system often requires large amounts of labeled training data. However, labeled samples are more difficult, expensive and time ...
The web crawler space is often delimited into two general areas: full-web crawling and focused crawling. We present netSifter, a crawler system which integrates features from thes...
This paper explains our research and implementations of manual, automatic and deep annotations of provenance logs for e-Science in silico experiments. Compared to annotating gener...
Tangible User Interfaces are well-suited to handling threedimensional data sets by direct manipulation of real objects in space, but current interfaces can make it difficult to lo...
Leonardo Bonanni, Jason Alonso, Neil Chao, Greg Va...
We propose a novel trap-based architecture for enterprise networks that detects “silent” attackers who are eavesdropping network traffic. The primary contributions of our work...
Brian M. Bowen, Vasileios P. Kemerlis, Pratap V. P...