Flow aggregator module for analysing network traffic
| dc.contributor.author | Moustafa, N. | |
| dc.contributor.author | Creech, G. | |
| dc.contributor.author | Slay, J. | |
| dc.contributor.conference | International Conference on Computing, Analytics and Networking, ICCAN 2017 (15 Dec 2017 - 16 Dec 2017 : Bhubaneswar, India) | |
| dc.contributor.editor | Pattnaik, P.K. | |
| dc.contributor.editor | Rautaray, S.S. | |
| dc.contributor.editor | Das, H. | |
| dc.contributor.editor | Nayak, J. | |
| dc.date.issued | 2018 | |
| dc.description.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. | |
| dc.identifier.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 | |
| dc.identifier.doi | 10.1007/978-981-10-7871-2_3 | |
| dc.identifier.isbn | 978-981-10-7870-5 | |
| dc.identifier.issn | 2194-5357 | |
| dc.identifier.issn | 2194-5365 | |
| dc.identifier.uri | https://hdl.handle.net/11541.2/143621 | |
| dc.language.iso | en | |
| dc.publisher | Springer | |
| dc.publisher.place | Singapore | |
| dc.relation.ispartofseries | Advances in Intelligent Systems and Computing | |
| dc.rights | Copyright 2018 Springer Nature | |
| dc.source.uri | https://doi.org/10.1007/978-981-10-7871-2_3 | |
| dc.subject | network flow aggregation | |
| dc.subject | intrusion detection system (IDS) | |
| dc.subject | sampling techniques | |
| dc.subject | association rule mining (ARM) | |
| dc.title | Flow aggregator module for analysing network traffic | |
| dc.type | Conference paper | |
| pubs.publication-status | Published | |
| ror.mmsid | 9916426283101831 |