Role of Machine Learning in Network Traffic Analysis

IndustryTrends

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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