An exploratory data analysis of malware/ransomware cyberattacks: insights from an extensive cyber loss dataset

Abstract

ABSTRACT This study comprehensively assesses ransomware/malware risks using the Advisen cyber loss dataset. It classifies malware types by frequency and financial impact, revealing that low-frequency attacks can cause significant economic damage. Some malware types incur extensive losses despite their rarity. The analysis highlights cybersecurity technologies like AI-based tools and Zero Trust Architecture (ZTA) for combating attacks. Large organizations and small businesses can adopt these defensive approaches across various industries. The study underscores the need for robust cybersecurity measures to prevent or mitigate future attacks, offering valuable insights into malware and ransomware patterns and trends, stressing adherence to frameworks, policies, and regulations.