International Journal of Wireless and Microwave Technologies (IJWMT)
IJWMT Vol. 15, No. 5, 8 Oct. 2025
Cover page and Table of Contents: PDF (size: 683KB)
Integration of Cyber Threat Hunting and Socio- Political Risk Assessment for a Hybrid Predictive Model for Enhanced Global Security
PDF (683KB), PP.21-33
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Author(s)
Ananya Das
1,*
Azath H.
1
Subhash Chandra Patel
1
Pushpinder Singh Patheja
1
Index Terms
Cyber Threat Hunting, Socio-Political Risk Assessment, Machine Learning, Cybersecurity, Global Security, AI in Counterterrorism, Socio-Cyber Threat Integration
Abstract
The new and emerging challenges posed by the convergence of cyber threats and socio-political tensions have risen as one of the core formidable threats to the present global security landscape. This paper proposes a hybrid predictive model intended to act against these real-world multidimensional attack vectors. The model integrates cyber threat hunting techniques with socio-political risk assessment methodologies to comprehensively forecast consequent cybersecurity threats to social unrest scenarios. Cyber threat data is collected from sources such as the Offensive Defensive-Intrusion Detection System (OD-IDS2022) and the Aegean Wi-Fi Intrusion Dataset (AWID3), and social terror attack information is gathered from the Global Database of Events, Language, and Tone (GDLET) Project and Armed Conflict Location & Event Data (ACLED) to comprise the bidirectional dataset for the model that contains views from both cyber and socio-political risk landscapes. The model adopts a holistic, robust predictive capability through k-fold cross-validation and feature importance evaluation implementation techniques. This multidisciplinary approach offers a synoptic understanding of emerging and future security threats and enables the execution of proactive measures to secure national and transnational borders.
Cite This Paper
Ananya Das, Azath H., Subhash Chandra Patel, Pushpinder Singh Patheja, "Integration of Cyber Threat Hunting and Socio- Political Risk Assessment for a Hybrid Predictive Model for Enhanced Global Security", International Journal of Wireless and Microwave Technologies(IJWMT), Vol.15, No.5, pp. 21-33, 2025. DOI:10.5815/ijwmt.2025.05.02
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