Временная динамика и оценка безопасности протокола SRT: 96-дневный продольный анализ инфраструктуры потоковой передачи продукции / Temporal Dynamics and Security Assessment of SRT Protocol: A 96-Day Longitudinal Analysis of Production Streaming Infrastructure (2026) (Russian)

Это исследование представляет 96-дневный длиннометражный анализ поведения протокола безопасного надежного транспорта (SRT) в среде потокового производства между Ираком и Турцией, изучая 262,672 образца транспортных метрических данных и 5,033,104 измерения системных ресурсов, собранных в период с октября 2025 года по январь 2026 года. Исследование рассматривает временные паттерны, взаимоотношения системы с ресурсами, уязвимость в атаке и обнаружение аномалий. Результаты показывают значительную временную вариацию: отрицательное распознавание показывает 7,6-кратную часовую вариацию и 11,5-кратную ежедневную вариацию (p < 0,001), хотя с небольшими размерами эффекта (eta^2 < 0,04), указывая на то, что временный период объясня

Abstract

This study presents a 96-day longitudinal analysis of Secure Reliable Transport (SRT) protocol behavior in a production streaming environment between Iraq and Turkey, examining 262,672 transport metric samples and 5,033,104 system resource measurements collected between October 2025 and January 2026. The research addresses temporal patterns, system-resource relationships, attack vulnerability, and anomaly detection. Results reveal significant temporal variation: Negative Acknowledgment exhibits 7.6-fold hourly variation and 11.5-fold daily variation (p < 0.001), though with small effect sizes (eta^2 < 0.04), indicating that temporal period explains less than 4 percent of total variance. Central Processing Unit (CPU) utilization emerges as the strongest system-level correlate of transport variation (r = 0.617 with NAK rate). Controlled User Datagram Protocol (UDP) flood experiments at 500 packets per second cause CPU increases of 176 to 806 percent, while SRT transport metrics change by only plus or minus 13 percent demonstrating protocol resilience through the Automatic Repeat Request mechanism. An unexpected anomaly reaching 97.7 percent CPU enabled signature-based differentiation between attack types. A Z-score anomaly detection method outperforms fixed thresholds, detecting all 7 security events. This study contributes the longest temporal characterization of SRT metrics reported to date, the first system-SRT correlation analysis, and the first controlled security assessment of SRT infrastructure. These findings provide actionable guidance for capacity planning, security hardening, and multi-metric monitoring of production SRT deployments.

Topics: Computer science, Dynamics (music), Production (economics), Real-time computing, System dynamics, Computer network

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