A future prediction for cyber-attacks in the network domain with the visualisation of patterns in cyber-security tickets with machine learning
E. Sivajothi, Sherly M. Caroline Diana, M Rekha, R. Babitha Lincy, P. Damodharan, J. Jency Rubia · International Journal of Electronic Security and Digital Forensics · 2024
Support ticket systems have gained popularity as a result of the increase in the use of virtual systems. Since new team members are typically hired during the course of a project, they must be familiar with the features that have already been implemented in the majority of software projects. The goal of this paper is to make clear how using tickets, new team members can be assisted in understanding the features that have been implemented in a project. A novel approach is proposed to categorise tickets using machine learning. The proposed method calculates the number of categories and categorises tickets automatically. While ticket feature visualisation displays the connections between ticket categories and keywords of ticket categories, ticket lifetime visualisation demonstrates time series change to review tickets quickly. Future visualisation designers can overcome comparable difficulties in the field of cyber security by learning about these techniques.