Back to Search Start Over

Network traffic classification using Apache Spark

Network traffic classification using Apache Spark

Authors :
Barlet Ros, Pere
Muntanyola Pros, Marc
Barlet Ros, Pere
Muntanyola Pros, Marc
Publication Year :
2017

Abstract

Apache Spark’s capabilites offer new possibilities to make software systems more scalable and reliable. The framework can be used to improve old network visibility platforms. Previously, these systems used to be run in a single node, and used Deep Packet Inspection (DPI) techniques to classify the network flows. Deep Packet Inspection methods have a high computational cost so this limited the systems to a lower performance. Classifiers were forced to sample the input data in order to be able to process it in realtime, which caused important loss of information. This project makes use of Spark’s innovative features to create a distributed and fault tolerant platform that can analyse much more flows per second using Machine Learning to achieve a high precision and accuracy at a low computational cost.

Details

Database :
OAIster
Notes :
application/pdf, English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1012841884
Document Type :
Electronic Resource