Flow aggregator module for analysing network traffic
Date
2018
Authors
Moustafa, N.
Creech, G.
Slay, J.
Editors
Pattnaik, P.K.
Rautaray, S.S.
Das, H.
Nayak, J.
Rautaray, S.S.
Das, H.
Nayak, J.
Advisors
Journal Title
Journal ISSN
Volume Title
Type:
Conference paper
Citation
Advances in Intelligent Systems and Computing, 2018 / Pattnaik, P.K., Rautaray, S.S., Das, H., Nayak, J. (ed./s), vol.710, pp.19-29
Statement of Responsibility
Conference Name
International Conference on Computing, Analytics and Networking, ICCAN 2017 (15 Dec 2017 - 16 Dec 2017 : Bhubaneswar, India)
Abstract
Network flow aggregation is a significant task for network analysis, which summarises the flows and improves the performance of intrusion detection systems (IDSs). Although there are some well-known flow analysis tools in the industry, such as NetFlow, sFlow and IPFIX, they can only aggregate one attribute at a time which increases networks’ overheads while running network analysis. In this paper, to address this challenge, we propose a new flow aggregator module which provides promising results compared with the existing tools using the UNSW-NB15 data set.
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Copyright 2018 Springer Nature