Analysis of Machine Learning Techniques & Emergence of Intrusion Detection System

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Provided by: International Journal Of Engineering And Computer Science
Topic: Security
Format: PDF
Distributed database storage is potential possibility of a deliberate unauthorized attempt to access information, manipulate information & Render a system unreliable type of intrusion. While connecting to network monitoring data recorded on a host or in a network, they can be used to detect intrusions, attacks and/or anomalies. In this paper, the authors present \"Supervised & Unsupervised learning\" a method to Clustering and the classification methods to classifying anomalous and normal activities in a distributed database storage.
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