Over the recent years, machine learning algorithms have been playing an important role in searching for patterns in data and developing innovative ways to utilize the information to solve many types of problems in the world. AppSensor project defines a conceptual framework that provides a backbone to implementing application intrusion detection and automated response. At the moment, it only supports a basic policy driven analysis and this project aims to implement a machine learning based analysis engine to make AppSensor more robust and be able to analyze a wider variety of problems/events.



Timothy Sum


  • Giri
  • Juan C Calderon
  • jtmelton