A COMPARATIVE STUDY OF PATTERNS, CAUSES, AND IMPACTS OF DATA BREACHES ACROSS GEOGRAPHICAL REGIONS AND TIME FRAMES

The rise of digital technologies and interconnected systems has made data breaches a growing global concern. This culmination project explores the patterns, causes, and impacts of data breaches across various countries with varying levels of economic development and cybersecurity infrastructure from 2020 to 2023. This research aims to provide insights into the global landscape of data breaches and how they have evolved in recent years. The research questions are: (Q1) How do data breach patterns differ between countries with different levels of economic development and cybersecurity infrastructure? (Q2) What patterns and trends can be identified in data breaches when analyzing the broader dataset spanning from 2020 and 2023, and how do they reflect evolving cyber threats over this period? The findings and conclusions for each question are: Q1) (Q1) Data breach patterns differ notably between developed and developing countries. Developed nations demonstrate fewer data breach trends due to more enforceable and advanced cybersecurity policies. In contrast, developing nations experience greater fluctuations in breach occurrences, particularly in 2021, likely due to rapid digitalization without sufficient cybersecurity mitigation infrastructure. The conclusion is that developed economic and cybersecurity infrastructure significantly impact a country's resilience to data breaches. Developed nations benefit from well-established enforceable cybersecurity policies (e.g., GDPR), which reduce risks, while developing countries remain more vulnerable due to limited resources in cybersecurity. (Q2) The data from 2020 to 2023 show a peak in data breaches during 2021, most likely due to the global shift to remote work during the COVID-19 pandemic. This was followed by a decline in breaches in 2022, suggesting that strengthened cybersecurity practices started to address vulnerabilities exposed during the remote work shift. The conclusion is that the evolving nature of cyber threats is shaped by both technological and socio-economic changes, emphasizing the need for adaptable security measures, especially during periods of global crises. Areas for further study include (a) further exploring the role of AI and machine learning in cyberattack prediction and prevention, and (b) examining the impact of international collaborations on reducing global cyber risks.