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The data source that produces data continuously in high volume and high velocity with large varieties of data types creates big data, and causes problems and challenges to machine learning (ML) techniques that help extract, analyze and visualize important information. We propose a model that makes use of the hybrid networking model that consists of multiple components, such as Hadoop distributed file system (HDFS), cloud storage system, security module and ML unit.

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This page is a summary of: Security problems and challenges in a machine learning-based hybrid big data processing network systems, ACM SIGMETRICS Performance Evaluation Review, April 2014, ACM (Association for Computing Machinery),
DOI: 10.1145/2627534.2627560.
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