SIP-based VoIP traffic behavior profiling and its applications

摘要

Welcome to the Third ACM Workshop on Mining Network Data.. >Today's IP networks are extensively instrumented for collecting a wealth of information including traffic traces (e.g., packet or flow level traces), control information (e.g., on router forwarding tables, BGP and OSPF updates), and management data (e.g., alarms, SNMP traps). The real challenge is to process and analyze this vast amount of primarily unstructured information and extract structures, relationships, and "higher level knowledge" embedded in it and use it to aid network management and operations. The goal of this workshop is to explore new directions in network data collection, storage, and analysis techniques, and their application to network monitoring, management, and remediation. The workshop provides a venue for researchers and practitioners from different backgrounds, including networking, data mining, machine learning, and statistics, to get together and collaboratively approach this problem from their respective vantage points. >18 papers were submitted to the workshop and underwent a rigorous single blind review and discussions by the PC members. Finally papers were selected after detailed discussions at the PC meeting. Given the one-day format for the workshop, the Program Committee was only able to accept 9 papers.