Two Ph.D. students from the ebiquity lab have posters at the ACM Student Research Competition and General Poster Session of the 2012 Grace Hopper Celebration of Women in Computing conference.
A Knowledge-Based Approach To Intrusion Detection Modeling,
M. Lisa Mathews
Current state of the art intrusion detection and prevention systems (IDPS) are signature-based systems that detect threats and vulnerabilities by cross-referencing the threat/vulnerability signatures in their databases. These systems are incapable of taking advantage of heterogeneous data sources for analysis of system activities for threat detection. This work presents a situation-aware intrusion detection model that integrates these heterogeneous data sources and builds a semantically rich knowledge-base to detect cyber threats/vulnerabilities.
Unsupervised Coreference Resolution for FOAF Instances,
Jennifer Alexander Sleeman
Coreference Resolution determines when two entity descriptions represent the same real world entity. Friend of a Friend (FOAF) is an ontology about people and their social networks. Currently there is not a way to easily recognize when two FOAF instances represent the same entity. Existing techniques that use supervised learning typically do not support incremental processing. I present an unsupervised approach that supports both heterogeneous data and incremental online processing.
