Business Intelligence and GPS Spoofing: Navigating Cybersecurity Challenges in Digital Surveillance Systems

Burton Sharon L ()
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Burton Sharon L: Embry-Riddle Aeronautical University (Department of Applied Aerospace Science), USA

HOLISTICA – Journal of Business and Public Administration, 2025, vol. 16, issue 1, 119-134

Abstract: The increasing sophistication of GPS spoofing presents a formidable challenge to industries and governments reliant on geospatial intelligence, necessitating advanced business intelligence (BI) methodologies to detect and mitigate these cyber threats. This article examines the intersection of BI and GPS spoofing, with a primary objective of developing data-driven frameworks that enhance detection accuracy and cybersecurity resilience. Addressing the critical research question—how can BI-driven analytics effectively identify and counteract GPS spoofing attempts?—this article underscores the necessity of integrating real-time anomaly detection, machine learning algorithms, and predictive analytics into cybersecurity protocols. A mixed-methods approach was employed to explore this issue, incorporating quantitative analysis of GPS spoofing incidents across aviation, maritime, autonomous vehicle, and defense sectors. In 2024, GPS-related cyberattacks increased by 500%, with aviation and maritime industries reporting a 27% rise in spoofing incidents affecting flight and vessel navigation. Also, qualitative assessments of BI-driven cybersecurity frameworks provided insight into the efficacy of various detection techniques. Geospatial anomaly detection models were tested against real-world spoofing data, employing AI-enhanced analytics to identify deviations in signal integrity and location reporting. Results indicate that BI-driven cybersecurity frameworks significantly enhance spoofing detection capabilities, reducing false positives while improving threat response efficiency. The implications of this research extend beyond technical solutions, offering policy recommendations for regulatory bodies to establish standardized geolocation security measures. Given that economic losses due to GPS cyber interference are projected to exceed $1 billion per day, the findings emphasize the need for rapid adoption of BI-driven mitigation strategies. This research article advances cybersecurity knowledge by demonstrating the critical role of BI in safeguarding global navigation systems. Future research should explore emerging quantum encryption technologies and deep-learning anomaly detection models further to fortify GPS integrity in an evolving threat landscape.

Keywords: business intelligence; cybersecurity analytics; GPS spoofing; geospatial intelligence; machine learning detection (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:vrs:hjobpa:v:16:y:2025:i:1:p:119-134:n:1008

DOI: 10.2478/hjbpa-2025-0008

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