Security enhancement for Intrusion Detection System

Sukhpreet Singh Dhaliwal, Robert Abbas, Abdullah-Al Nahid

Research output: Contribution to conferencePaper

Abstract

One of the most important aspects in communication is “security”. The paper lays out a classification model based on XGBoost algorithm that can be used in Intrusion Detection Systems to detect and ultimately filter out mischievous data. The IDS can be used to alert the administrator and act as an important feature in modern technologies such as IoTs, 5G and others. The XGBoost algorithm is well suited to cloud networking and the paper presents the fact that it generates high accuracy in detecting data.
Original languageEnglish
Publication statusSubmitted - 20 Jul 2018
Event2018 28th International Telecommunication Networks and applications conference - Sydney, Australia
Duration: 21 Nov 201823 Nov 2018
Conference number: 28th 2018

Conference

Conference2018 28th International Telecommunication Networks and applications conference
Abbreviated titleITNAC
CountryAustralia
CitySydney
Period21/11/1823/11/18

Keywords

  • eXtreme Gradient Boosting (XGBoost); Intrusion Detection System (IDS); Machine Learning (ML); Network Socket Layer - Knowledge Discovery in Databases (NSL-KDD).

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  • Cite this

    Singh Dhaliwal, S., Abbas, R., & Nahid, A-A. (2018). Security enhancement for Intrusion Detection System. Paper presented at 2018 28th International Telecommunication Networks and applications conference , Sydney, Australia.