Defense Against Cyber Threats: The Role of Self-Healing Networks in Cybersecurity
The increasing frequency of cyber attacks on healthcare organizations, with over 600 incidents reported in 2024, highlights a pressing need for advanced and adaptive security measures. Self- healing networks have emerged as a critical defense mechanism, leveraging closed-loop automation and machine learning for live anomaly detection, automated threat containment, and continuous monitoring. This article examines both vendor-specific and vendor-neutral approaches, including NetOps and AIOps frameworks, which enable organizations to orchestrate self-healing, interoperability, and proactive management across heterogeneous environments. By integrating open standards and artificial intelligence, these solutions enhance operational resilience, accelerate incident response, and reduce costs. Despite initial implementation complexities, the benefits- including improved security posture, operational efficiency, and long-term cost savings-underscore the strategic value of adopting self-healing networks and automation-driven frameworks for safeguarding digital infrastructure in healthcare and beyond.
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-06-02
- DOI
- https://doi.org/10.5281/zenodo.15573126
- Primary Topic
- Information and Cyber Security
- Type
- article
- Field-Weighted Citation Impact
- 0.00