| Summary: | Threat assessment of network security assists in identifying potential risks and vulnerabilities. By understanding the threats, their potential impact, and the probability of their occurrence, organizations can proactively implement the necessary security controls and countermeasures to mitigate the risks. Using a mixed method methodology, this research implemented the semi-structured interview and experimental data collection to assess network threats, emphasizing the significance of a tailored framework for university networks. Semi-structured interviews were conducted with network security administrators, risk management experts, and network security experts. The process of experimental data collection involves gathering data from the university firewall during a specific time period in order to identify occurrences of potential threats. In addition, the developed threat assessment utilized machine learning methods to determine the occurrence of threats using a time series analysis algorithm. The findings contribute to developing a comprehensive threat assessment framework that supports decision-making processes for university network security. © 2023 IEEE.
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