ABSTRACT
In an increasingly interconnected digital world, cybersecurity threats have evolved into a significant global challenge affecting individuals, organizations, and governments. From ransomware attacks and data breaches to state-sponsored cyber warfare and advanced persistent threats (APTs), the landscape of cyber risks is becoming more sophisticated and damaging. This paper explores the current global cybersecurity threats, analyzes their impact on various sectors, and highlights the importance of proactive defense mechanisms and features are Country, Target industry, Year, No of Affected Users and Attack source. The study also emphasizes the urgent need for international cooperation, robust security frameworks, and the adoption of emerging technologies such as AI and blockchain to mitigate the risks. By understanding these evolving threats, stakeholders can better prepare for, respond to, and recover from cyber incidents in an era dominated by digital transformation.


OBJECTIVE
Objective of this project is to develop a predictive model that estimates the financial loss and identifies the most likely attack vector of a cyber incident based on critical features such as the type of data breached, the industry affected, and the severity level of the breach.1. To analyze historical cyber incident data and identify key factors that influence financial impact and attack methods.
2. To build a machine learning or statistical model that predicts the estimated financial loss associated with a given cyber incident.
3. To classify or predict the most likely attack vector (e.g., phishing, ransomware, malware, insider threat) based on input features.
4. To assess the influence of industry type, such as healthcare, finance, or education, on both financial loss and attack strategy.
5. To provide actionable insights for organizations to improve their cybersecurity posture, response planning, and risk assessment.
6. To support proactive threat mitigation by enabling early prediction of attack behavior and potential losses.