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Title: Data-Driven Cyber Threat Intelligence: Leveraging Behavioral Analytics for Proactive Defense Mechanisms
Authors: Kingsley David Onyewuchi Ofoegbu, Olajide Soji Osundare, Chidiebere Somadina Ike, Ololade Gilbert Fakeyede, Adebimpe Bolatito Ige
Journal: Computer science & IT research journal
Year: 2023
Volume: 4
Issue: 3
Language: en
DOI: 10.51594/csitrj.v4i3.1501
As the cyber threat landscape becomes increasingly sophisticated, traditional defense mechanisms often fall short in anticipating and mitigating advanced attacks. The paper explores the critical role of behavioral analytics in transforming cyber threat intelligence (CTI) into a proactive defense strategy. This study underscores the importance of analyzing user behavior patterns, network activity, and system interactions to detect anomalies that may indicate potential threats. By leveraging large datasets and advanced analytical techniques, organizations can move beyond reactive cybersecurity measures, instead anticipating and preventing attacks before they fully manifest. The integration of behavioral analytics with CTI provides a comprehensive understanding of both external threats and internal vulnerabilities, enabling the development of dynamic defense mechanisms that adapt to the evolving threat environment. The research also discusses the benefits of automated threat intelligence platforms, which use machine learning algorithms to continuously analyze behavioral data and refine threat detection models in real-time. This approach reduces the reliance on manual analysis, enhances the speed and accuracy of threat detection, and minimizes false positives. Moreover, the study highlights the importance of cross-sector collaboration and data sharing in building a robust CTI framework that leverages collective intelligence to combat cyber threats. Case studies of successful implementations in various industries demonstrate the practical applications and efficacy of behavioral analytics in enhancing cybersecurity resilience. The findings suggest that organizations that adopt data-driven, behavior-focused CTI are better equipped to defend against both known and unknown threats, ensuring a more secure digital environment. This proactive approach to cybersecurity not only strengthens organizational defenses but also contributes to the broader goal of creating a safer cyber ecosystem by identifying and neutralizing threats at their inception.
Keywords: Data-Driven, Cyber Threat, Intelligence, Bahavioral Analytics, Proactive Defense Mechanism.
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