Projects

In a typical data stream classification task, it is assumed that the total number of classes are fixed. This assumption may not be valid in a real streaming environment, where new classes may evolve at any time. more...

Novel Class Detection and Classification in Concept-Drifting Data Streams

Recent approaches in classifying evolving data streams are based on supervised learning algorithms, which can be trained with labeled data only. Manual labeling of data is both costly and time consuming. more...

Data Stream Classification with Limited Labeled Data

We describe the design and implementation of DExtor, a data mining-based exploit code detector that protects network services. DExtor operates under the assumption that normal traffic to network services contains only data whereas exploits contain code. more...

Detecting Remote Exploits using Data Mining

We present a scalable and multi-level feature extraction technique to detect malicious executables. We propose a novel combination of three different kinds of features at different levels of abstraction. more...

A Data Mining Approach To Detect Malicious Executables

Data Mining Tools Repository

Last updated 07/09/2010