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Unsupervised Anomaly Detection in Network Traffic Using Autoencoders

This M.Tech project topic focuses on Unsupervised Anomaly Detection in Network Traffic Using Autoencoders. It belongs to the Data Mining area within Data Science & Big Data. The topic can be used…

Data Mining

Abstract	This M.Tech project topic focuses on Unsupervised Anomaly Detection in Network Traffic Using Autoencoders. It belongs to the Data Mining area within Data Science & Big Data. The topic can be used for project selection, synopsis preparation, literature review, implementation planning, and dissertation documentation. Students can begin with the listed reference paper, understand the core research direction, and then customize the work using a suitable dataset, tools, evaluation metrics, and academic requirements.
Reference Paper	Robustness Evaluation of Deep Unsupervised Learning Algorithms for Intrusion Detection Systems
Domain	Data Science & Big Data
Sub-Domain	Data Mining
PDF Download	Download / View PDF
Get Help	Get Help on WhatsApp Message: Hi FE, I need help with "Unsupervised Anomaly Detection in Network Traffic Using Autoencoders" in "Data Science & Big Data"

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