Sign inSubmit
computersciencejournal.org is not ours. This journal is published only at thescipub.com/jcs. Report a suspicious emailcomputersciencejournal.org is not ours · Report
ArticleMetrics
Review Article · Open access · Published 23 May 2025

Adaptive Security for Facilities in High-Risk Cities: A Case Study Approach

Puya Pakshad 1

Journal of Computer Science, Volume 21, Issue 6, pp. 1266–1282 · doi.org/10.3844/jcssp.2025.1266.1282

5,834 accesses2,113 downloads0 citations (Crossref)Metrics
Cite Check for updates

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.

Licence and reuse

Open access. This article is licensed under a Creative Commons Attribution 4.0 International Licence (CC BY 4.0), as printed on the article, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original authors and the source. No permission is needed.

How to reuse this article

Responses (0)

Have a comment on this research? Sign in to respond. Responses are moderated and published with your name and affiliation; the authors are invited to reply. How we use your dataWrite a response

About this article

Cite this article

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

Licence
CC BY 4.0
Issue
Volume 21, Issue 6
Policies
Editorial independenceUse of generative AIData availabilityAppeals and complaints
Version
Version of record
Adaptive Security for Facilities in High-Risk Cities: A Case Study ApproachJournal of Computer Science · Volume 21, Issue 6 · pp. 1266–1282 · CC BY 4.0Download