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primary topic: IoTTPS: Ensemble RKSVM Model-Based Internet of Things Threat Protection System

IoTTPS: Ensemble RKSVM Model-Based Internet of Things Threat Protection System
type: AcademicArticle
type: Article
abstract: An Internet of Things (IoT) network is prone to many ways of threatening individuals. IoT sensors are lightweight, lack complicated security protocols, and face threats to privacy and confidentiality. Hackers can attack the IoT network and access personal information and confidential data for blackmailing, and negatively manipulate data. This study aims to propose an IoT threat protection system (IoTTPS) to protect the IoT network from threats using an ensemble model RKSVM, comprising a random forest (RF), K nearest neighbor (KNN), and support vector machine (SVM) model. The software-defined networks (SDN)-based IoT network datasets such as KDD cup 99, NSL-KDD, and CICIDS are used for threat detection based on machine learning. The experimental phase is conducted by using a decision tree (DT), logistic regression (LR), Naive Bayes (NB), RF, SVM, gradient boosting machine (GBM), KNN, and the proposed ensemble RKSVM model. Furthermore, performance is optimized by adding a grid search hyperparameter optimization technique with K-Fold cross-validation. As well as the NSL-KDD dataset, two other datasets, KDD and CIC-IDS 2017, are used to validate the performance. Classification accuracies of 99.7%, 99.3%, 99.7%, and 97.8% are obtained for DoS, Probe, U2R, and R2L attacks using the proposed ensemble RKSVM model using grid search and cross-fold validation. Experimental results demonstrate the superior performance of the proposed model for IoT threat detection.
date: 2023-07
volume: 23
issue: 14
is part of: Sensors
status: peerReviewed
status: published
author list: authors
type: EPrint
type: ArticleEPrint
is part of: repository
has document: IoTTPS: Ensemble RKSVM Model-Based Internet of Things Threat Protection System (Texto)
has document: IoTTPS: Ensemble RKSVM Model-Based Internet of Things Threat Protection System (Otro)
subject: Engineering

IoTTPS: Ensemble RKSVM Model-Based Internet of Things Threat Protection System (Texto)
type: Document
has file: sensors-23-06379-v2.pdf
has part: sensors-23-06379-v2.pdf

Sensors
type: Collection
issn: 14248220

Muhammad Faheem Mushtaq
type: Person
given name: Muhammad Faheem
family name: Mushtaq

Wareesa Sharif
type: Person
given name: Wareesa
family name: Sharif

Mobeen Shahroz
type: Person
given name: Mobeen
family name: Shahroz

Imran Ashraf
type: Person
given name: Imran
family name: Ashraf

Ernesto Bautista Thompson
type: Person
given name: Ernesto
family name: Bautista Thompson

Sirojiddin Djuraev
type: Person
given name: Sirojiddin
family name: Djuraev

Urooj Akram
type: Person
given name: Urooj
family name: Akram

Isabel de la Torre Diez
type: Person
given name: Isabel de la Torre
family name: Diez

Daniel Gavilanes Aray
type: Person
given name: Daniel
family name: Gavilanes Aray

IoTTPS: Ensemble RKSVM Model-Based Internet of Things Threat Protection System (Otro)
type: Document
is version of: IoTTPS: Ensemble RKSVM Model-Based Internet of Things Threat Protection System (Texto)
is volatile version of: IoTTPS: Ensemble RKSVM Model-Based Internet of Things Threat Protection System (Texto)
is index codes version of: IoTTPS: Ensemble RKSVM Model-Based Internet of Things Threat Protection System (Texto)
has file: indexcodes.txt
has part: indexcodes.txt

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primary topic: IoTTPS: Ensemble RKSVM Model-Based Internet of Things Threat Protection System

Engineering
type: Concept
preferred label: Ingeniería @es