Analysis and modelling of a ML-based NIDS for IoT networks

Author:

Karanfilovska Martina,Kochovska Teodora,Todorov Zdravko,Cholakoska Ana,Jakimovski Goran,Efnusheva Danijela

Publisher

Elsevier BV

Subject

General Engineering

Reference21 articles.

1. Yeo, Liu Hua, Xiangdong Che and Shalini Lakkaraju. (2017) “Understanding modern intrusion detection systems: a survey.” arXiv:1708.07174.

2. Classification techniques for intrusion detection-an overview;Arul;International Journal of Computer Applications,2013

3. Designing home security monitoring system based Internet of things (loTs) model;Satria;Jurnal Serambi Engineering,2018

4. Fuzzy ARTM AP neural network IDS Evaluation applied for real IEEE 802.11w data base;Vilela,2018

5. Application of frequent item set mining algorithm in IDS based on Hadoop framework;Tong,2018

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2. Coarse and fine feature selection for Network Intrusion Detection Systems (IDS) in IoT networks;Transactions on Emerging Telecommunications Technologies;2024-03-19

3. A Review of recent IDS proposals based on Ensemble Learning in IoT Networks;2023 7th IEEE Congress on Information Science and Technology (CiSt);2023-12-16

4. Development of Intrusion Detection Models for IoT Networks Utilizing CICIoT2023 Dataset;2023 3rd International Conference on Smart Cities, Automation & Intelligent Computing Systems (ICON-SONICS);2023-12-06

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