American
International
University-
Bangladesh

Students & Supervisors

Abstract

"Cybersecurity threats are becoming a major global issues all over the world as more services shift to the digital platforsm like banking, healthcare, online education and government systems are also becoming online. Cyber attackers often find the system weaknesses and take advantages of weak targets such as outdated software, weak passwords, and phishing attacks to steal sensitive information and it cost the financial losses. To maintain the security system most of the organizations implement the protective tools and mechanisms which includs virtual private networks, encryption techniques, antivirus software, along with AI-based detection systems.The rapid growth of the cybersecurity threats is closely linked to to the continuous expansion and rapid development of digital infrastructures over the world. This study examines the cybersecurity incidents to identify the common cyber attack pattern, impacted industry sectors by attack, key security weaknesses and the effectiveness of the defense system strategies to focus on financial losses and incident response time. This study analyzed a secondary dataset, Global Cybersecurity Threats (2015–2024), containing more than 1,000 cybersecurity incidents reported across multiple countries, including the USA, China, India, Germany, France, the UK, Brazil, Russia, Japan, and Australia. The dataset included variables such as attack type, target industry, financial loss, vulnerability type, defense mechanism, and attack source. Descriptive statistical analyses, including frequency distributions and mean value calculations, were conducted to identify attack patterns and their impacts. In addition, multiple linear regression analysis was performed to examine the effects of attack type, vulnerability category, and defense mechanism on the financial losses associated with cybersecurity incidents. Data analysis was conducted using descriptive statistics and multiple linear regression techniques to examine cybersecurity attack patterns, impacts, and factors associated with financial losses. The findings revealed that DDoS, phishing and SQL injection were the three most common attack types. The IT industry was the most attacked, followed by banking and healthcare (14% each). In terms of attack origin, attacks originating from nation-state was the highest (26.5%) followed by unknown (25.6%). The largest share of security vulnerabilities was zero-day vulnerability (26.2%), and social engineering (24.9%). Across all incidents, the average financial loss was $50.49 million, whereas the average resolution time was 36.48 hours. DDoS attacks had the highest average financial loss. The government sector had the highest average financial loss with one of the longest resolution times. Multiple linear regression analysis indicated that attack type,vulnerability category, and defense mechanism significantly influenced the severity of cybersecurity incidents, pointing the importance of attack characteristics and defensive strategies. The findings highlight the importance of implementing effective defence mechanisms and proactive security practices to minimize the financial loses. To decrease the chances of being target to common cyber threats, leverage the power of strong password, install updates, and dodge dubious links. "

Keywords

Publication Details

• Type of Publication:
• Conference Name: International Conference on Emerging Frontiers in Advanced Sciences and Technologies 2026
• Date of Conference: 27/06/2026 - 27/06/2026
• Venue: Pabna University of Science and Technology (PUST)
• Organizer: Pabna University of Science and Technology (PUST) and Universiti Malaysia Perlis (UniMAP)