Paper Contents
Abstract
It often happens in cyber security that identifying malicious or unusual behavior requires combining a number of weak symptoms of penetration, each of which would not be cause for concern on its own. Such indicatorstrajectory might also be crucial. This makes Topological Data Analysis (TDA), a topic that uses methods from algebraic topology to study the high level structure of data for both exploratory analysis and as part of a machine learning process, a particularly good fit for the challenge of cybersecurity data analysis. We want to draw attention to a new and exciting field that has great promise to advance cybersecurity data science by presenting TDA and examining the work that has been done on its application to cybersecurity.
Copyright
Copyright © 2025 Ranjit Kumar, Dr. Vijay Kumar Pandey. This is an open access article distributed under the Creative Commons Attribution License.
