Real-time Automated Security Report Generation

In today’s world, organizations protect themselves and their customer’s data through the implementation of complex cybersecurity solutions composed of many different nodes, each generating constant streams of data. Building reports from this data through the calculation of various metrics can provide much needed visibility into the state of the environment. However, building such reports can be a tedious and time-consuming process. Automated report generation can provide fast, clear views into the current or changing environment in varying levels of detail to allow for quicker incident detection and response as well as decision making.
This research project is a continuation of the Reporting Automation Platform (RAP) project that was started last year and will involve expanding the automated reporting platform to increase its functionality to generate more detailed reports. This project will also study the effects of integrating additional data streams into the platform.

Faculty Supervisor:

Charlie Obimbo


Leopoldine Vassiliou


ISA Cybersecurity


Computer science


Professional, scientific and technical services


University of Guelph



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