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.
|Publication status||Submitted - 20 Jul 2018|
|Event||2018 28th International Telecommunication Networks and applications conference - Sydney, Australia|
Duration: 21 Nov 2018 → 23 Nov 2018
Conference number: 28th 2018
|Conference||2018 28th International Telecommunication Networks and applications conference|
|Period||21/11/18 → 23/11/18|
- eXtreme Gradient Boosting (XGBoost); Intrusion Detection System (IDS); Machine Learning (ML); Network Socket Layer - Knowledge Discovery in Databases (NSL-KDD).
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.