A holistic and intelligent cyber risk quantification framework

In our contemporary world, digital systems are playing critical roles in every aspect of life. To maintain our digitalized environments safe, secure, efficient, and cost-effective, cyber risk assessment frameworks have been developed to assess the trustworthiness and effectiveness degree of an IT-based environment. However, these frameworks demand in-depth insights, expertise, and efforts to complete them as well as collecting huge volume of information and knowledge and then process them. In addition, while enterprises executives search quantitative and comparable outputs, these assessment frameworks do not address this need intactly. In this project, we offer a framework that leverages state-of-the-art AI technology to intelligently collect, process and extract knowledge from heterogenous source of data to generate real-time quantitative risk assessment reports. It also utilizes its generated reports as well as various important factors for decision making and provides its stakeholders with comprehensive decisions to mitigate risk and enhance effectiveness.

Faculty Supervisor:

Ali Dehghantanha

Student:

Partner:

eSentire;Cyber Maple Ltd

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

University of Guelph

Program: