Topological Data Analysis for Malware Detection and Analysis

The advent of internet technologies has ushered in unprecedented opportunities for global communication and the exchange of information. However, it has also introduced a plethora of security threats, notably malware. These malicious software are designed to infiltrate, damage, or disrupt computing systems, often with severe consequences. Traditional malware detection methods have had varying levels of success but have also highlighted the need for more sophisticated approaches. This chapter explores the application of Topological Data Analysis (TDA) in malware detection and analysis, underscoring its potential to enhance cybersecurity measures.

Applying TDA to malware analysis presents a novel, efficient, and robust technique to identify and categorize malware. Unlike conventional analysis methods, which often hinge on known malware signatures or heuristic rules, TDA does not require prior knowledge of the data. Instead...