Seguridad y privacidad en el almacenamiento de datos en sistemas de información distribuidos

Víctor Joel Pinargote Bravo · Innova Science Journal · 2025

Security and privacy in distributed information systems represent a growing challenge due to the decentralization of data and the increase of cyber-attacks. This study analyzes the threats, mitigation strategies, and future challenges in protecting distributed data. Through a systematic literature review, risks such as ransomware, phishing and DDoS attacks, as well as vulnerabilities in interoperability and hybrid cloud were identified. Mitigation strategies include data encryption, multi-factor authentication and artificial intelligence-based monitoring. It is recognized that the lack of globally homogeneous regulations hinders the implementation of unified security policies, while the adoption of emerging technologies, such as blockchain and quantum computing, offers promising solutions. However, the lack of cybersecurity awareness and training remains a significant obstacle. It is concluded that data protection in distributed systems requires a holistic approach that combines appropriate regulations, technological innovation and continuous training to strengthen the resilience of digital infrastructures.

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