Cyber Threat Data Collection and Threat Analysis: Building a Foundation for Proactive Cybersecurity
J. Manasa Krishna, B.S.Mounika Yadav · International Journal of Engineering Technology and Management Sciences · 2025
The rapid evolution of cyber threats, characterized by increasing sophistication and complexity, hasunderscored the critical need for robust methodologies in data collection and analysis to enableproactive cybersecurity defences. This study delves into the intricate processes and cutting-edgetechnologies involved in cyber threat data collection and threat analysis, emphasizing their pivotalrole in identifying, categorizing, and mitigating cyber risks. By leveraging a diverse array of datasources, advanced analytical techniques, and machine learning models, this study aims to constructa comprehensive framework that enhances the understanding and management of the dynamic andever-changing threat landscape. Cyber threat data collection forms the bedrock of effectivecybersecurity strategies. It involves the aggregation of data from multiple sources, includingnetwork traffic logs, endpoint detection systems, threat intelligence feeds, and open-sourceintelligence (OSINT). The integration of structured data, such as system logs and incident reports,with unstructured data, like social media posts and dark web forums, provides a holistic view ofpotential threats. This multi-faceted approach ensures that no critical information is overlooked,enabling security teams to detect anomalies and potential breaches more effectively. Real-timeprocessing is another critical component of proactive cybersecurity. The ability to analyze andrespond to threats in real-time significantly reduces the window of opportunity for attackers,minimizing potential damage. Adaptive analytics, which dynamically adjust to evolving threatpatterns, further bolster the resilience of cybersecurity systems.