An Evaluation of Text Mining Techniques in Sampling of Network Ports from IBR Traffic

Chindipha, Stones D; Irwin, Barry V W; Herbert, Alan

Title: An Evaluation of Text Mining Techniques in Sampling of Network Ports from IBR Traffic
Creator: Chindipha, Stones D
Creator: Irwin, Barry V W
Creator: Herbert, Alan
Date Issued: 2019
Date: 2019
Type: text
Type: article
Identifier: http://hdl.handle.net/10962/427630
Identifier: vital:72452
Identifier: https://www.researchgate.net/profile/Stones-Chindi-pha/publication/335910179_An_Evaluation_of_Text_Mining_Techniques_in_Sampling_of_Network_Ports_from_IBR_Traffic/links/5d833084458515cbd1985a38/An-Evaluation-of-Text-Mining-Techniques-in-Sampling-of-Network-Ports-from-IBR-Traffic.pdf
Description: Information retrieval (IR) has had techniques that have been used to gauge the extent to which certain keywords can be retrieved from a document. These techniques have been used to measure similarities in duplicated images, native language identification, optimize algorithms, among others. With this notion, this study proposes the use of four of the Information Retrieval Techniques (IRT/IR) to gauge the implications of sampling a/24 IPv4 ports into smaller subnet equivalents. Using IR, this paper shows how the ports found in a/24 IPv4 net-block relate to those found in the smaller subnet equivalents. Using Internet Background Radiation (IBR) data that was collected from Rhodes University, the study found compelling evidence of the viability of using such techniques in sampling datasets. Essentially, being able to identify the variation that comes with sampling the baseline dataset. It shows how the various samples are similar to the baseline dataset. The correlation observed in the scores proves how viable these techniques are to quantifying variations in the sampling of IBR data. In this way, one can identify which subnet equivalent best represents the unique ports found in the baseline dataset (IPv4 net-block dataset).
Format: 5 pages
Format: pdf
Language: English
Relation: Proceedings of Southern African Telecommunication Networks and Applications Conference (SATNAC)
Relation: Chindipha, S.D., Irwin, B. and Herbert, A., 2019. An Evaluation of Text Mining Techniques in Sampling of Network Ports from IBR Traffic. In The Changing Face of Telcos in a Digital World. Southern Africa Telecommunication Networks and Applications Conference (SATNAC)
Relation: Proceedings of Southern African Telecommunication Networks and Applications Conference (SATNAC) volume 2019 number 1 1 5 2019 Conference
Rights: Publisher
Rights: Use of this resource is governed by the terms and conditions of the Southern Africa Telecommunication Networks and Applications Conference (SA TNAC) Statement (https://www.satnac.org.za/)

Hits: 8
Visitors: 9
Downloads: 1

Collections

Herbert, Alan (Mr)

RU Department of Computer Science

Chindipha, Stones Dalitso (Dr)

SDG 09. Industry, Innovation and Infrastructure

		Thumbnail	File	Description	Size	Format
View Details Download			SOURCE1	An Evaluation of Text Mining Techniques in Sampling of Network Ports from IBR Traffic.pdf	264 KB	Adobe Acrobat PDF	View Details Download