- Title
- Feasibility Study: Computing Confidence Interval (CI) for IBR Data Using Bootstrapping Technique
- Creator
- Chindipha, Stones D
- Creator
- Irwin, Barry V W
- Date Issued
- 2021
- Date
- 2021
- Type
- text
- Type
- article
- Identifier
- http://hdl.handle.net/10962/427665
- Identifier
- vital:72454
- Identifier
- https://www.researchgate.net/profile/Barry-Ir-win/publication/358895311_Feasibility_Study_Computing_Confidence_Inter-val_CI_for_IBR_Data_Using_Bootstrapping_Technique/links/621bdc469947d339eb6e578b/Feasibility-Study-Computing-Confidence-Interval-CI-for-IBR-Data-Using-Bootstrapping-Technique.pdf
- Description
- Statistical bootstrapping has been used in different fields over the years since it was introduced as a technique that one can use to simulate data. In this study, parametric and nonparametric bootstrapping techniques were used to create samples of different compositions from the baseline data. The bootstrap distribution of a point estimator of a population parameter has been used in the past to produce a bootstrapped confidence interval (CI) for the parameter’s true value, if the parameter is written as a function of the population’s distribution. Population parameters are estimated with many point estimators. The study used mean as the population parameter of interest from which bootstrap samples were created. This research was more interested in the CI side of bootstrapping and it is this aspect that this paper focused on. This is the case because the study wanted to offer a certain degree of assurance and reliability of IBR data to users who may not have access to a larger ’lens’ of a network telescope to allow them to monitor security threats in their network. The primary interest in the dataset were source and destination IP (DSTIP) addresses, thus the study selected different size pools of DSTIP addresses to simulate bootstrap samples.
- Format
- 6 pages
- Format
- Language
- English
- Relation
- Proceedings of Southern African Telecommunication Networks and Applications Conference (SATNAC)
- Relation
- Chindipha, S.D. and Irwin, B., 2021. Feasibility Study: Computing Confidence Interval (CI) for IBR Data Using Bootstrapping Technique. Southern Africa Telecommunication Networks and Applications Conference (SATNAC)
- Relation
- Proceedings of Southern African Telecommunication Networks and Applications Conference (SATNAC) volume 2021 number 1 1 6 2021 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/)
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Collections
Chindipha, Stones Dalitso (Dr)
RU Department of Computer Science
SDG 09. Industry, Innovation and Infrastructure
| Thumbnail | File | Description | Size | Format | |||
|---|---|---|---|---|---|---|---|
| View Details Download | SOURCE1 | Feasibility Study.pdf | 130 KB | Adobe Acrobat PDF | View Details Download |