Development of Adaptive Algorithms for Ensuring Iot Data Security in a Disconnected Communication Environment.

This paper presents a comprehensive analysis of the vulnerabilities of cyber-physical production systems and proposes a comprehensive integrated security architecture for the Industrial Internet of Things (IIoT). The developed system is based on the paradigms of a Unified Trust Fabric, adaptive communication, and cross-layer intelligence. The paper explores the transition from fragmented, discrete security tools to an adaptive, centrally orchestrated ecosystem. Experimental validation conducted on a hybrid rig simulating multi-stage targeted attacks (APTs) using the MITRE ATT&CK for ICS matrix demonstrates the high practical effectiveness of these solutions. Implementation of an adaptive cryptographic stack based on ECC reduces power consumption at the edge by 4.3 times, and the hybrid intrusion detection system achieves a 96% APT attack detection rate. Automated orchestration reduces incident response time to 3.2 seconds while maintaining 99.98% operational availability.