ELBA-IoT: An ensemble learning model for botnet attack detection in IoT networks
Q Abu Al-Haija, M Al-Dala'ien - Journal of Sensor and Actuator Networks, 2022 - mdpi.com
Due to the prompt expansion and development of intelligent systems and autonomous,
energy-aware sensing devices, the Internet of Things (IoT) has remarkably grown and …
energy-aware sensing devices, the Internet of Things (IoT) has remarkably grown and …
A two-fold machine learning approach to prevent and detect IoT botnet attacks
The botnet attack is a multi-stage and the most prevalent cyber-attack in the Internet of
Things (IoT) environment that initiates with scanning activity and ends at the distributed …
Things (IoT) environment that initiates with scanning activity and ends at the distributed …
N-baiot—network-based detection of iot botnet attacks using deep autoencoders
The proliferation of IoT devices that can be more easily compromised than desktop
computers has led to an increase in IoT-based botnet attacks. To mitigate this threat, there is …
computers has led to an increase in IoT-based botnet attacks. To mitigate this threat, there is …
IoT botnet anomaly detection using unsupervised deep learning
The Internet of Things has become a cutting-edge technology that is continuously evolving
in size, connectivity, and applicability. This ecosystem makes its presence felt in every …
in size, connectivity, and applicability. This ecosystem makes its presence felt in every …
Detecting botnet attacks in IoT environments: An optimized machine learning approach
MN Injadat, A Moubayed… - 2020 32nd International …, 2020 - ieeexplore.ieee.org
The increased reliance on the Internet and the corresponding surge in connectivity demand
has led to a significant growth in Internet-of-Things (IoT) devices. The continued deployment …
has led to a significant growth in Internet-of-Things (IoT) devices. The continued deployment …
Intelligent detection of iot botnets using machine learning and deep learning
As the number of Internet of Things (IoT) devices connected to the network rapidly increases,
network attacks such as flooding and Denial of Service (DoS) are also increasing. These …
network attacks such as flooding and Denial of Service (DoS) are also increasing. These …
A lightweight energy consumption ensemble-based botnet detection model for IoT/6G networks
J Zhou, T Hai, DNA Jawawi, D Wang… - Sustainable Energy …, 2023 - Elsevier
The potential for significant damage to an enterprise network by an intruder or cybercriminal
wielding a botnet is substantial. Such malicious actors actively scan vulnerable connected …
wielding a botnet is substantial. Such malicious actors actively scan vulnerable connected …
Detection of botnet attacks against industrial IoT systems by multilayer deep learning approaches
Industry 4.0 is the next revolution in manufacturing technology that is going to change the
production and distribution of goods and services within the following decade. Powered by …
production and distribution of goods and services within the following decade. Powered by …
IoT botnet detection via power consumption modeling
Many IoT botnets that exploit vulnerabilities of IoT devices have emerged recently. After
taking over control of IoT devices, the botnets generate tremendous traffic to attack target …
taking over control of IoT devices, the botnets generate tremendous traffic to attack target …
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 …