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Role of Machine Learning in Network Traffic Analysis
Network traffic analysis (NTA) helps identify anomalies, security threats, and irregularities in data packets
ML algorithms revolutionize network analysis with accurate insights, faster responses, and heightened security
ML uses two approaches Flow analysis, Packet analysis for network traffic analysis
ML algorithms categorize activities, aiding in comprehensive understanding of network traffic and types
Network traffic analysis employs diverse ML algorithms based on objectives and data traits
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