THE FLOW BASED TRAFFIC DETECTION AND MONITORING MODEL IN COMPLEX NETWORKS USING PREDICTIVE MANAGEMENT APPROACH

Abstract
The Network Flow Analyzers are the best way to identify network traffic and its source. In general, Net Flow is a feature that was first introduced in network devices. It can collect IP-based network traffic by monitoring the inflow and outflow of data. This allows the administrator to verify the source and destination of the traffic, the type of service and the cause of the congestion. This makes it easier to understand network traffic and manage it properly. Not only is the process expensive, but it can be effective in the very short term. When you provide more information technology infrastructure Traffics to the network, but do not try to reduce the pressure, the infrastructure will face similar problems encountered before the upgrade again. In this paper, a smart predictive based network flow and traffic monitoring model was proposed. This method describes networking activities with specific and complex user modules. Further predictions can be made to ensure simple and fast data flow by improving the traffic management and avoidance of conjunctions that occur in a particular location in a network.

Authors
L Vinitha Sree, A Amjath
Mahendra College of Engineering, India

Keywords
Network Flow, Traffic Management, IP-Based Network Traffic, User Modules.
Published By :
ICTACT
Published In :
ICTACT Journal on Data Science and Machine Learning
( Volume: 3 , Issue: 1 )
Date of Publication :
December 2021

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