Adaptive Security for Facilities in High-Risk Cities: A Case Study Approach
Puya Pakshad 1 Show affiliations
- College of Computing, Illinois Institute of Technology, Chicago, United States
Journal of Computer Science, Volume 21, Issue 6, pp. 1266–1282 · doi.org/10.3844/jcssp.2025.1266.1282
Abstract
Establishing a facility in a high-crime urban area with complex security challenges necessitates strategic foresight and innovative approaches. This study investigates the range of risks confronting such facilities, including criminal activity, civil unrest, and cyber threats, and presents practical, evidence-based solutions to mitigate them. A central focus is placed on the collaborative engagement of key stakeholders-such as local authorities, community leaders, and law enforcement-to develop a resilient and cohesive security strategy. Additionally, this approach involves the design of an intuitive, community-oriented application to streamline the reporting of crimes and suspicious activities to law enforcement. By integrating physical security measures with a nuanced understanding of the unique social and cultural dynamics at play, this study proposes a comprehensive framework to safeguard the facility and its workforce, ultimately supporting sustainable, long-term operations within a complex urban context.
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Pakshad, P. (2025). Adaptive Security for Facilities in High-Risk Cities: A Case Study Approach. Journal of Computer Science, 21(6), 1266–1282. https://doi.org/10.3844/jcssp.2025.1266.1282
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