Rapid developments in Internet of Things (IoT) systems have led to a wide integration of
such systems into everyday life. Systems for active real-time monitoring are especially useful …

The importance of network security has become increasingly prominent due to the rapid
development of network technology. Network intrusion detection systems (NIDSs) play a …

The Internet of Things (IoT) refers to the network of interconnected physical devices that are
embedded with software, sensors, etc., allowing them to exchange and collect information …

In the internet of things (IoT) era, the security of connected devices and systems is critical.
Machine learning models are commonly used for IoT attack detection, where feature …

This article examines intrusion detection systems in depth using the CSE-CIC-IDS-2018
dataset. The investigation is divided into three stages: to begin, data cleaning, exploratory …

Abstract The Internet of Things, or IoT, is an important technology applied in various
applications such as smart homes and innovative healthcare. Due to its architecture, IoT …

Intrusion detection systems (IDSs) for the Internet of Things (IoT) systems can use AI-based
models to ensure secure communications. IoT systems tend to have many connected …

Abstract Internet of Things (IoT) devices are extensively utilized but are susceptible to
cyberattacks, posing significant security challenges. To mitigate these threats, machine …

The classification accuracy of EEG signals based on traditional machine learning methods is
low. Therefore, this paper proposes a new model for the feature extraction and recognition of …

Accepted: 20 December 2022 Chronic diseases are among the most frequent major health
concerns. Early detection of chronic illnesses can help to avoid or lessen their …