Abstract

Recently, innovation in the digital health industry has grown steadily, trending with medical cyber-physical systems’ (MCPS) integrated solutions, regulations, real-time analytics, and software frameworks. Amid these advancements, the paramount concern is the security of medical information, particularly in maternity hospitals where data breaches must be rigorously avoided. While some researchers have explored security methods, they have encountered limitations and identified existing risks. In this research article, the authors propose a novel security mechanism/method called MAMATA Agent/BOT (i.e. Medical-data-Access-for-Maternal-Treat-ment-in-rural-Area) to discover and mitigate trending vulnerabilities, drawing reference from the OWASP (Open Web Application Security Project) Top 10 Report 2017/2020. The author’s approach leverages a rule-based algorithm, enhancing the robustness of the security mechanism. This MCPS system and security mechanism are implemented within PHP and Laravel environments, and comparative analysis is carried out against a few existing security methods commonly employed in general healthcare (like SOA/SOD Framework, Andrew Austin test, Marcelo test, etc..). Results demonstrate a quantified improvement, e.g., 60-70% improvement in detectable vulnerabilities compared to prior approaches. Additionally, the authors extend their previous research by depicting different turns of events and applying a more stable, secured structure tailored to medical applications. Quantitative data presented with comparative analysis in tabular format validates the effectiveness of the proposed methods by detecting and, or fixing 7 to 9 major vulnerabilities (out of the top 10) identified by security assessment tools like ‘Burp Suite Proxy’ and ‘Nikto’.