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 …
A discrete time-varying greywolf IoT botnet detection system
M Alazab - Computer Communications, 2022 - Elsevier
Internet of things (IoT) is an emerging network that is trending due to advances in computing
and networking development. A botnet is an attack that threatens the IoT system because of …
and networking development. A botnet is an attack that threatens the IoT system because of …
A multi-objective mutation-based dynamic Harris Hawks optimization for botnet detection in IoT
The increasing trend toward using the Internet of Things (IoT) increased the number of
intrusions and intruders annually. Hence, the integration, confidentiality, and access to …
intrusions and intruders annually. Hence, the integration, confidentiality, and access to …
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 …
Unsupervised intelligent system based on one class support vector machine and Grey Wolf optimization for IoT botnet detection
Recently, the number of Internet of Things (IoT) botnet attacks has increased tremendously
due to the expansion of online IoT devices which can be easily compromised. Botnets are a …
due to the expansion of online IoT devices which can be easily compromised. Botnets are a …
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 …
Using ensemble learning technique for detecting botnet on IoT
A Rezaei - SN Computer Science, 2021 - Springer
Despite the growing reputation and the ubiquitous nature of the IoT, it poses significant
challenges as it is also considered a convenient platform for cyberattacks. The connection of …
challenges as it is also considered a convenient platform for cyberattacks. The connection of …
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 …
Towards effective feature selection for iot botnet attack detection using a genetic algorithm
X Liu, Y Du - Electronics, 2023 - mdpi.com
With the large-scale use of the Internet of Things, security issues have become increasingly
prominent. The accurate detection of network attacks in the IoT environment with limited …
prominent. The accurate detection of network attacks in the IoT environment with limited …
Feature engineering based performance analysis of ML and DL algorithms for Botnet attack detection in IoMT
The internet of medical things is one of the popular application of internet of things (IoT)
where various small medical devices are interconnected with each other to share sensitive …
where various small medical devices are interconnected with each other to share sensitive …