Enhancing Network Security with GeoAI and Real-Time Intrusion Detection

Author(s)	Kirti Vasdev
Country	United States
Abstract	GeoAI (Geospatial Artificial Intelligence) combines geospatial data analysis with AI capabilities to enhance decision-making. Its application in network security offers a revolutionary approach to detecting and mitigating cyber threats. This paper explores the integration of GeoAI with real-time intrusion detection systems (IDS), discussing theoretical foundations, practical applications, and challenges. Case studies illustrate GeoAI’s role in identifying geographically contextualized cyber threats. We also examine the integration of machine learning, geospatial analytics, and real-time processing to improve network resilience. Challenges like data privacy and system complexity are discussed, alongside future trends in GeoAI-enabled network security.
Keywords	GeoAI, Network Security, Real-Time Intrusion Detection, Geospatial Analytics, Cybersecurity, Machine Learning, Data Privacy, Anomaly Detection, Artificial Intelligence, IDS
Field	Engineering
Published In	Volume 16, Issue 1, January-March 2025
Published On	2025-02-04
Cite This	Enhancing Network Security with GeoAI and Real-Time Intrusion Detection - Kirti Vasdev - IJSAT Volume 16, Issue 1, January-March 2025. DOI 10.5281/zenodo.14802799
DOI	https://doi.org/10.5281/zenodo.14802799
Short DOI	https://doi.org/g83xkt

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