Heineman, George T.
Paffenroth, Randy Clinton
MITRE / Mitre Corporation
The goal of this project is to develop indicators of a cyber-attack by applying a new data analysis technique known as Topological Data Analysis on synthetic cyber data. In particular, the research and work completed throughout this paper centers around an open-source implementation, called Python Mapper, that helps users globally view forensic data and gain qualitative insights from the shape of the data. To assist in these efforts, we developed tools to directly import data into Mapper from existing data sources. Due to the exploratory nature of the project and the method, the outcome of the work completed was not developing new cyber analytics of malicious activity but creating a stopping point in the research where future collaborators can build off of our work.
Worcester Polytechnic Institute
Major Qualifying Project
All authors have granted to WPI a nonexclusive royalty-free license to distribute copies of the work, subject to other agreements. Copyright is held by the author or authors, with all rights reserved, unless otherwise noted.