The most likely way for attackers to gain access to your infrastructure is through the network. Network security is the general practice of protecting computer networks and devices accessible to the network against malicious intent, misuse and denial. In this article, I will take you through techniques of Network Security Analysis with Machine Learning.

Exploring patterns is one of the main strengths of machine learning, and there are many inherent patterns to discover in the network traffic data. At first glance, network packet capture data may appear sporadic and random, but most communication flows follow strict network protocol.

Live network data capture is the primary way to record network activity for online or offline analysis. Like a CCTV camera at a traffic intersection, packet analyzers intercept and record network traffic. Now let’s create a network attack classifier from scratch using machine learning.

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