Self-Repairing Security Systems for Manufacturing Networks: Proactive Threat Defense and Automated Recovery

Abstract

As manufacturing networks become more connected, having strong and flexible security mea- sures is more important than ever. This paper dives into self-repairing security systems for manu- facturing environments, emphasizing how these systems can automatically spot, tackle, and recover from security issues in real time. The goal is to create advanced solutions that let manufacturing networks reconfigure defenses—like firewalls and intrusion detection systems—on their own when- ever a breach or vulnerability is detected. The paper also looks at building automated systems that can restore compromised data or functionality quickly, which helps cut down on downtime and keep the network running smoothly. By using energetic monitoring, machine learning, and automatic response protocols, this research suggests a framework for self-healing systems that not only address security threats but also evolve to prevent future problems. The findings aim to boost the resilience and security of manufacturing networks, ensuring business continuity and reducing reliance on manual interventions.