Proceedings of the International scientific and practical conference ― Cambridge Science and Education Conference‖ (February 23-25, 2026) / Publisher website: www.naukainfo.com. – Cambridge, United Kingdom, 2026. - 289 p.

106 To verify the effectiveness of the proposed algorithm, a digital experiment was conducted to simulate the operation of the AS-PPE (Automated System for PPE distribution) over a 24-hour cycle involving 200 workers. The modelling scenario envisioned a targeted DDoS attack occurring at the 10th hour of operation, which completely blocked the external communication channel for 5 hours. Analysis of the obtained data allowed for the formulation of the following key results: -The implementation of the edge computing concept allowed the system to avoid the state of "functional paralysis" typical of classical centralised architectures. While standard solutions entirely halt PPE distribution upon connection loss, the proposed adaptive algorithm maintains service availability above 98% through a transition to autonomous operation. -Thanks to local authorisation using the controller's cache memory, it was possible to stabilise the quality of service, reducing the response waiting time for a worker to 20–30 ms. This is crucial for avoiding queues at the start of work shifts, as the speed of user interaction with the terminal no longer depends on global network latencies or current cloud server load. -Modelling confirmed the high efficiency of the developed batch synchronisation method upon connection restoration. The system does not generate an avalanche-like "network storm" but gradually uploads transactions accumulated during offline operation, preventing repeated failures of the corporate infrastructure and ensuring the stable operation of the entire enterprise IT circuit. The study's practical significance is confirmed by the successful testing of a software prototype developed in Python. The experimental results led to the following detailed conclusions: -Data Integrity and Legal Validity: It has been experimentally proven that the integration of "local intelligence" and cryptographic transaction confirmation using SHA-256 hash chaining effectively neutralises the consequences of prolonged DDoS attacks. This approach ensures that every offline transaction is linked to the previous