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Temporal Dynamics and Security Assessment of SRT Protocol: A 96-Day Longitudinal Analysis of Production Streaming Infrastructure

Ahmed Fouad Kadhim Koysha · 2026 · Journal of Communications

DOI: 10.12720/jcm.21.4.544-564 · cited by 0 works (OpenAlex) · open-access PDF

Korean

이 연구는 이라크와 터키 사이의 생산 스트리밍 환경에서 안전한 신뢰할 수 있는 운송 (SRT) 프로토콜 행동에 대한 96일의 장거리 분석을 제공하여 이라크와 터키 사이의 생산 스트리밍 환경에서 262,672 개의 운송 메트릭 샘플과 5,033,104 개의 시스템 서명 자원 측정을 검토합니다.이 연구는 시간 패턴, 시스템 자원 관계, 공격 취약성 및 비정상 감지에 대한 설명을 나타냅니다. 결과는 중앙 처리 단위 (CPU) 사용이 운송의 가장 강력한 시스템 수준 상관 관계로 나타납니다. (p < 0.001) 소형 효과 크기 (eta^2 < 0.04)와 함께, 연구는 시간 기간이 전체 보안 변동의 4 % 미만을 설명한다는 것을 나타냅니다

Machine translation (Meta M2M100); the English original follows.

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.

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

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