एसआरटी प्रोटोकॉल के समय गतिशीलता और सुरक्षा मूल्यांकन: उत्पादन स्ट्रीमिंग बुनियादी ढांचे के 96-दिन लंबी अवधि का विश्लेषण / Temporal Dynamics and Security Assessment of SRT Protocol: A 96-Day Longitudinal Analysis of Production Streaming Infrastructure (2026) (Hindi)

इस सख्त अध्ययन में इराक और तुर्की के बीच एक उत्पादन स्ट्रीमिंग माहौल में सुरक्षित विश्वसनीय परिवहन (एसआरटी) प्रोटोकॉल व्यवहार के 96-दिवसीय लंबे समय के विश्लेषण का मूल्यांकन किया गया है, जिसमें 262,672 परिवहन डेटा नमूने और 5,033,104 सिस्टम संसाधन मापों का मूल्यांकन किया गया था, जो अक्टूबर 2025 और जनवरी 2026 के बीच एकत्र किया गया था। अनुसंधान में समय पैटर्न, सिस्टम संसाधन संबंधों, हमले संवेदनशीलता, और अनियमितता का पता लगाने का पता लगाया गया है। परिणामों में महत्वपूर्ण समय परिवर्तन दिखाई देता है: नकारात्मक मान्यता योजना 7.6 गुना घंटे परिवर्तन और 11.5 गुना दैनिक परिवर्तन (पी < 0.001)

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

Is this paper real? This page was built from OpenAlex and arXiv records, not generated. Software can verify any reference in one call: GET https://store.agentexchange.work/gw/papers/verify?title=...&year=... (0.003 USD), fetch this record as JSON with /gw/papers/paper?id=2610.26402, or list what it cites with /gw/papers/references?id=.... Pay per call in USDC (x402) or with a 19 USD card key for 1,000 calls. Catalogue · llms.txt