An ensemble intrusion detection technique based on proposed statistical flow features for protecting network traffic of internet of things
N Moustafa, B Turnbull… - IEEE Internet of Things …, 2018 - ieeexplore.ieee.org
Internet of Things (IoT) plays an increasingly significant role in our daily activities,
connecting physical objects around us into digital services. In other words, IoT is the driving …
connecting physical objects around us into digital services. In other words, IoT is the driving …
An aggregated mutual information based feature selection with machine learning methods for enhancing IoT botnet attack detection
Due to the wide availability and usage of connected devices in Internet of Things (IoT)
networks, the number of attacks on these networks is continually increasing. A particularly …
networks, the number of attacks on these networks is continually increasing. A particularly …
A two-level flow-based anomalous activity detection system for IoT networks
I Ullah, QH Mahmoud - Electronics, 2020 - mdpi.com
The significant increase of the Internet of Things (IoT) devices in smart homes and other
smart infrastructure, and the recent attacks on these IoT devices, are motivating factors to …
smart infrastructure, and the recent attacks on these IoT devices, are motivating factors to …
Ensemble-learning framework for intrusion detection to enhance internet of things' devices security
Y Alotaibi, M Ilyas - Sensors, 2023 - mdpi.com
The Internet of Things (IoT) comprises a network of interconnected nodes constantly
communicating, exchanging, and transferring data over various network protocols. Studies …
communicating, exchanging, and transferring data over various network protocols. Studies …
Two-step ensemble approach for intrusion detection and identification in IoT and fog computing environments
CA De Souza, CB Westphall, RB Machado - Computers & Electrical …, 2022 - Elsevier
Abstract Due to Internet of Things devices resource limitations, security often does not
receive enough attention. Intrusion detection approaches are important for identifying …
receive enough attention. Intrusion detection approaches are important for identifying …
XGB-RF: A hybrid machine learning approach for IoT intrusion detection
JA Faysal, ST Mostafa, JS Tamanna, KM Mumenin… - Telecom, 2022 - mdpi.com
In the past few years, Internet of Things (IoT) devices have evolved faster and the use of
these devices is exceedingly increasing to make our daily activities easier than ever …
these devices is exceedingly increasing to make our daily activities easier than ever …
Towards developing network forensic mechanism for botnet activities in the IoT based on machine learning techniques
The IoT is a network of interconnected everyday objects called “things” that have been
augmented with a small measure of computing capabilities. Lately, the IoT has been affected …
augmented with a small measure of computing capabilities. Lately, the IoT has been affected …
Intrusion detection system for internet of things based on temporal convolution neural network and efficient feature engineering
A Derhab, A Aldweesh, AZ Emam… - … and Mobile Computing, 2020 - Wiley Online Library
In the era of the Internet of Things (IoT), connected objects produce an enormous amount of
data traffic that feed big data analytics, which could be used in discovering unseen patterns …
data traffic that feed big data analytics, which could be used in discovering unseen patterns …
A real-time IoT-based botnet detection method using a novel two-step feature selection technique and the support vector machine classifier
Y Masoudi-Sobhanzadeh, S Emami-Moghaddam - Computer Networks, 2022 - Elsevier
A botnet, which is a collection of devices polluted by malicious software programs, is among
the top security challenges in the Internet of Things (IoT) environments. Therefore, to deal …
the top security challenges in the Internet of Things (IoT) environments. Therefore, to deal …
CorrAUC: a malicious bot-IoT traffic detection method in IoT network using machine-learning techniques
Identification of anomaly and malicious traffic in the Internet-of-Things (IoT) network is
essential for the IoT security to keep eyes and block unwanted traffic flows in the IoT …
essential for the IoT security to keep eyes and block unwanted traffic flows in the IoT …