The Application of Topological Data Analysis in Network Security

Ugunta Michael H.

Faculty of Engineering Kampala International University Uganda

ABSTRACT

Network security is an essential field focused on protecting data and computer networks from unauthorized access, misuse, or damage. With the increasing complexity and volume of cyber threats, traditional methods of ensuring security have shown limitations. Topological Data Analysis (TDA) has emerged as a powerful tool to enhance network security measures. This paper explores the application of TDA in network security, focusing on anomaly detection and intrusion detection systems. By leveraging the robustness of topological invariants, TDA provides a novel approach to understanding and securing complex network structures. The paper also discusses the challenges associated with implementing TDA in network security and suggests future research directions to address these challenges.

Keywords: Network Security, Topological Data Analysis (TDA), Anomaly Detection, Intrusion Detection Systems, Cybersecurity, Persistent Homology, Topological Invariants

CITE AS: Ugunta Michael H. (2024).The Application of Topological Data Analysis in Network Security. RESEARCH INVENTION JOURNAL OF ENGINEERING AND PHYSICAL SCIENCES 3(1):62-69.