The Human Factor: Assessing Ransomware Vulnerability in Developing Nations’ Governments

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Authors: Paúl B. Vásquez-Méndez, Diana Carolina Arce Cuesta, Jorge Luis Zambrano-Martínez
Cited by: 2
References: 22

Abstract

Ransomware represents a critical and escalating threat to public institutions in developing nations, where cybersecurity is often underprioritized. While technical vulnerabilities are significant, this study investigates the under-explored socio-organizational dimensions of cyber resilience within Latin American local governments. Employing a qualitative exploratory approach, the research draws on semi-structured interviews with IT officials from Ecuadorian municipalities. The data were analyzed using Braun and Clarke’s thematic framework, applying a hybrid coding strategy that integrated deductive categories (institutional, human, technological) with inductive themes. The findings identify key vulnerability factors, including low risk perception among personnel, insufficient training, a lack of formal security policies, and weak regulatory enforcement. These human and institutional shortcomings often outweigh purely technological weaknesses, with social engineering serving as a predominant attack vector. Despite these challenges, the study also uncovers emergent resilience practices, including internal security committees, micro-training routines, AI-supported filtering, and informal troubleshooting networks. This research provides empirical evidence from a critically understudied context, underscoring the imperative for human-centric and context-sensitive cybersecurity strategies in the public sector. The conclusions establish a foundational understanding for developing adaptive security models, including future AI-driven solutions, tailored to the operational realities of developing nations. The study offers practical insights for policymakers and institutions aiming to bolster holistic cyber defense capabilities that address both human and technical factors.

Fields of Study & Subjects

Information and Cyber Security Cybersecurity and Cyber Warfare Studies Advanced Malware Detection Techniques

Publication details

Journal / source
Information
Publisher
MDPI AG
Volume
17
Issue
2
Pages
211–211
Publication date
19 February 2026
Language
EN