Publication Type : Conference Paper
Thematic Areas : Amrita Center for Cybersecurity Systems and Networks
Publisher : Software Engineering in Intelligent Systems: Proceedings of the 4th Computer Science On-line Conference 2015 (CSOC2015), Vol 3: Software Engineering in Intelligent Systems
Source : Software Engineering in Intelligent Systems: Proceedings of the 4th Computer Science On-line Conference 2015 (CSOC2015), Vol 3: Software Engineering in Intelligent Systems, Springer International Publishing, Cham, p.253–259 (2015)
Url : http://dx.doi.org/10.1007/978-3-319-18473-9_25
Keywords : Network Monitoring, Spark, Spark Streaming
Campus : Amritapuri
School : Centre for Cybersecurity Systems and Networks, School of Engineering
Center : Cyber Security
Department : cyber Security
Year : 2015
Abstract : With the huge increase in the volume of network traffic, there is a need for network monitoring systems that capture network packets and provide packet features in near real time to protect from attacks. As a first step towards developing such a system using distributed computation, new system has been developed in Spark, a cluster computing system, which extracts packet features with less memory consumption and at a faster rate. Traffic analysis and extraction of packet features are carried out using streaming capability inherent in Spark. Analysing the network data features provide a means for detecting attacks. This paper describes a system for the analysis of network data using Spark streaming technology which focuses on real time stream processing, built on top of Spark.
Cite this Research Publication : K. V. Swetha, Shiju Sathyadevan, and Bilna, P., “Network Data Analysis Using Spark”, in Software Engineering in Intelligent Systems: Proceedings of the 4th Computer Science On-line Conference 2015 (CSOC2015), Vol 3: Software Engineering in Intelligent Systems, Cham, 2015, pp. 253–259.