Towards machine learning based IoT intrusion detection service

TA Mohamed, T Otsuka, T Ito - Recent Trends and Future Technology in …, 2018 - Springer
IoT Security is one of the most critical issues when developing, implementing and deploying
IoT platforms. IoT refers to the ability of communication, monitoring and remote control of …

A Comprehensive Survey on Ensemble Machine Learning Approaches for Detection of Intrusion in IoT Networks

JJ Shirley, M Priya - 2023 International Conference on …, 2023 - ieeexplore.ieee.org
Threats to network security have been increasing leading to severe network attacks such
that a simple firewall will not be sufficient to deter challenging and complicated attacks …

Deep reinforcement learning based intrusion detection system with feature selections method and optimal hyper-parameter in IoT environment

S Bakhshad, V Ponnusamy, R Annur… - 2022 International …, 2022 - ieeexplore.ieee.org
The continuous rise of inter-contented Internet of Things (IoT) devices has significantly
increased network traffic, complexity, and the ever-changing Internet environment, making …

Optimizing IoT intrusion detection system: feature selection versus feature extraction in machine learning

J Li, MS Othman, H Chen, LM Yusuf - Journal of Big Data, 2024 - Springer
Abstract Internet of Things (IoT) devices are widely used but also vulnerable to cyberattacks
that can cause security issues. To protect against this, machine learning approaches have …

Intrusion Attack Detection Using Firefly Optimization Algorithm and Ensemble Classification Model

R Gangula, MM Vutukuru… - Wireless Personal …, 2023 - Springer
In recent decades, the Internet of Things (IoTs) based network intrusion detection (ID)
remains a challenging research topic. Currently, several machine-learning methodologies …

[PDF][PDF] Intrusion detection in IoT with logistic regression and artificial neural network: Further investigations on n-baIoT dataset devices

F Abbasi, M Naderan, SE Alavi - Journal of Computing and Security, 2021 - jcomsec.ui.ac.ir
Due to the increasing development and applications of the Internet of Things (IoT), detection
and prevention of intruders into the network and devices has gained much attention in the …

[PDF][PDF] An efficient intrusion detection framework based on embedding feature selection and ensemble learning technique.

FMM Mokbal, D Wang, M Osman, P Yang… - Int. Arab J. Inf …, 2022 - ccis2k.org
Network security has emerged as a crucial universal issue that affects enterprises,
governments, and individuals. The strategies utilized by the attackers are continuing to …

Intrusion Detection in Industrial Internet of Things Network‐Based on Deep Learning Model with Rule‐Based Feature Selection

JB Awotunde, C Chakraborty… - … and mobile computing, 2021 - Wiley Online Library
The Industrial Internet of Things (IIoT) is a recent research area that links digital equipment
and services to physical systems. The IIoT has been used to generate large quantities of …

IoT-based smart environment using intelligent intrusion detection system

G Kalnoor, S Gowrishankar - Soft Computing, 2021 - Springer
One of the most basic characteristic features of every smart device in a network based on the
Internet of Things (IoT) is to gather a larger set of data that has been created and then …

An Improved Intrusion Dectection System using BoT-IoT Dataset

B Majhi - 2022 IEEE 11th International Conference on …, 2022 - ieeexplore.ieee.org
Security concern in IoTs is gaining massive attention from researchers. IoT has the power to
transform the world. It is grounded in homes, education, energy, mobiles and many more …