Reliable machine learning model for IIoT botnet detection
F Taher, M Abdel-Salam, M Elhoseny… - IEEE …, 2023 - ieeexplore.ieee.org
Due to the growing number of Industrial Internet of Things (IoT) devices, network attacks like
denial of service (DoS) and floods are rising for security and reliability issues. As a result of …
denial of service (DoS) and floods are rising for security and reliability issues. As a result of …
[HTML][HTML] Botnet attack detection using local global best bat algorithm for industrial internet of things
A Alharbi, W Alosaimi, H Alyami, HT Rauf… - Electronics, 2021 - mdpi.com
The need for timely identification of Distributed Denial-of-Service (DDoS) attacks in the
Internet of Things (IoT) has become critical in minimizing security risks as the number of IoT …
Internet of Things (IoT) has become critical in minimizing security risks as the number of IoT …
Developing an efficient feature engineering and machine learning model for detecting IoT-botnet cyber attacks
M Panda, AM Abd Allah, AE Hassanien - IEEE Access, 2021 - ieeexplore.ieee.org
The proliferation of Internet of Things (IoT) systems and smart digital devices, has perceived
them targeted by network attacks. Botnets are vectors buttoned up which the attackers …
them targeted by network attacks. Botnets are vectors buttoned up which the attackers …
[HTML][HTML] 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 …
[HTML][HTML] Lightweight internet of things botnet detection using one-class classification
Like smart phones, the recent years have seen an increased usage of internet of things (IoT)
technology. IoT devices, being resource constrained due to smaller size, are vulnerable to …
technology. IoT devices, being resource constrained due to smaller size, are vulnerable to …
[HTML][HTML] A novel ensemble method for enhancing Internet of Things device security against botnet attacks
The growing number of connected Internet of Things (IoT) devices has led to the daily
growth of network botnet attacks. The networks of compromised devices controlled by a …
growth of network botnet attacks. The networks of compromised devices controlled by a …
[PDF][PDF] Design of a Novel Deep Learning Methodology for IOT Botnet based Attack Detection
The hackers take advantage of the rapid expansion of the Internet of Things (IoT) to launch
attacks on connected devices. There must be a reliable way to identify hostile attacks in …
attacks on connected devices. There must be a reliable way to identify hostile attacks in …
Multi-objective particle swarm optimization for botnet detection in internet of things
Nowadays, the world witnesses an immense growth in Internet of things devices. Such
devices are found in smart homes, wearable devices, retail, health care, industry, and …
devices are found in smart homes, wearable devices, retail, health care, industry, and …
[HTML][HTML] IoT botnet detection using salp swarm and ant lion hybrid optimization model
In the last decade, the devices and appliances utilizing the Internet of Things (IoT) have
expanded tremendously, which has led to revolutionary developments in the network …
expanded tremendously, which has led to revolutionary developments in the network …
[PDF][PDF] DNNBoT: Deep neural network-based botnet detection and classification.
MA Haq, MA Rahim Khan - Computers, Materials & Continua, 2022 - cdn.techscience.cn
The evolution and expansion of IoT devices reduced human efforts, increased resource
utilization, and saved time; however, IoT devices create significant challenges such as lack …
utilization, and saved time; however, IoT devices create significant challenges such as lack …