SELF-ORGANIZING WIRELESS IIOT NETWORKS WITH SECURITY PRIORITIES

The article considers the problem of building self-organizing wireless networks in the industrial Internet of Things environment, taking into account security priorities. Based on the analysis of modern IEEE 802.15.4/802.15.5 standards, ZigBee and 6LoWPAN protocols, a multi-level conceptual architecture is proposed, including perceptual, network, processing and application levels, as well as an end-to-end security level. The integrated basic security mechanisms include elliptic cryptography methods for authentication and key distribution, Shamir threshold schemes for dynamic key management, and signcryption for group authentication. Hybrid algorithms combining proactive and reactive approaches (OLSR + AODV) are used for adaptive topology formation and routing, taking into account channel quality metrics (RSSI, loss probability) and node trust metrics. Distributed anomaly detection systems based on statistical analysis of traffic parameter deviations and hybrid machine learning models are implemented on edge computing nodes, which ensures timely detection of DDoS attacks and data substitution without increasing the number of false positives. A trust management model is proposed with risk score calculation based on node behavior metrics and their centrality in the network graph, which allows prioritizing the protection of the most critical c omponents.