Advanced Cybersecurity Protocols for Securing Data Management Systems in Industrial and Healthcare Environments

Abstract

The increasing digitalization of industrial and healthcare environments has heightened the importance of cybersecurity to protect sensitive data and ensure the integrity of data management systems. This article examines advanced cybersecurity protocols designed to address the unique challenges faced by these sectors. It explores various threats, including ransomware, phishing, and insider threats, as well as system vulnerabilities found in legacy systems, IoT and medical devices, and cloud computing. The implementation of robust security measures such as encryption, multi-factor authentication, and intrusion detection systems is analyzed in depth. Through a comprehensive review of existing research and real-world case studies, including those of Maersk Line, Memorial Health System, and Norsk Hydro, this study provides insights into effective strategies for enhancing cybersecurity in industrial and healthcare settings. The findings highlight the critical role of these measures, alongside regular staff training and awareness programs, in safeguarding data management systems. By leveraging advanced technologies and proactive security practices, organizations can better protect their sensitive data against evolving cyber threats.

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“…In recent years, the integration of AI and ML has significantly advanced the field of data analytics within financial services. (Joy et al, 2024;Nishat et al, 2024)These technologies enable financial institutions to perform predictive and prescriptive analytics, which go beyond traditional descriptive analytics by forecasting future trends and providing actionable recommendations. AI and ML algorithms can process vast amounts of data in real-time, uncovering patterns and insights that were previously unattainable.…”