Application of Data Analytics to Cyber Forensic Data

Chow, Yao Yuan

Student Work

Application of Data Analytics to Cyber Forensic Data

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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.

This report represents the work of one or more WPI undergraduate students submitted to the faculty as evidence of completion of a degree requirement. WPI routinely publishes these reports on its website without editorial or peer review.

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