• Ramji R
• Karuppasamy K
• Magudeeswaran M
• George Robin X
• Subash Chandrabose G

With the widespread use of VoIP in high-speed networks, monitoring and detecting VoIP calls is vital for ensuring communication quality, detecting misuse, and optimizing network performance. This project analyzes VoIP traffic patterns, identifies key protocols such as SIP and RTP, and implements real-time detection mechanisms using statistical and AI-based models. Tools like Wireshark and Zeek are used for packet capture and analysis. The system detects active VoIP sessions, flags unauthorized communications, and enhances security by identifying threats like spoofing and phishing. Additionally, it applies QoS optimizations to maintain network efficiency and ensure reliable VoIP communication.

VoIP Detection, SIP Protocol, RTP Protocol, Real-Time Traffic Analysis, Network Security, Packet Inspection, Machine Learning, Anomaly Detection, Quality of Service (QoS), Wireshark, Zeek, Encrypted Traffic Analysis, High-Speed Networks.

"High Speed Network Traffic Analysis - Detecting VoIP Calls in Data Streaming", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 5, page no.b114-b118, May-2025, Available :http://www.jetir.org/papers/JETIR2505112.pdf

"High Speed Network Traffic Analysis - Detecting VoIP Calls in Data Streaming", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 5, page no. ppb114-b118, May-2025, Available at : http://www.jetir.org/papers/JETIR2505112.pdf