Use of Machine Learning Techniques for Network Assurance
Author(s): Sujay Kanungo
Publication #: 2512024
Date of Publication: 07.10.2025
Country: United States
Pages: 1-7
Published In: Volume 11 Issue 5 October-2025
DOI: https://doi.org/10.62970/IJIRCT.v11.i5.2512024
Abstract
For the past two decades Network Assurance and Network Automation have become the center stage to address the problems of the hyper scale of the enterprise and service provider networks. As the size of the networks grew that brought to the center the problem of managing and debugging these networks which requires a lot of human intervention. There has been effort by the networking industry to develop solutions which helps thousands of networking devices and nodes managed by controllers and monitor the networks performance but some of these tools and software rely mostly on static rule based analysis. For the past decade some use of Artificial Intelligence and Machine Learning has been done to create software and tools which are used to manage and troubleshoot the network infrastructure. In this paper we will analyze the current AI & ML methods used for network Assurance, the current limitations and the future scope of improvements.
Keywords: Network Assurance, Machine Learning, Networking, ML based Network Automation.
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