In the production process of hot continuous rolling, due to the imbalance between the
number of normal cases and fault cases, the traditional supervised learning methods are …

Cyber security is high up on the agenda of senior managers in private and public sector
organizations and is likely to remain so for the foreseeable future. Because cyber-attacks are …

Abstract The Internet of Things (IoT) has grown significantly in recent years, allowing devices
with sensors to share data via the internet. Despite the growing popularity of IoT devices …

The detection rate of network intrusion detection systems mainly depends on relevant
features; however, the selection of attributes or features is considered an issue in NP-hard …

Abstract With advances in Cyber-Physical Systems (CPS), privacy-preserving and security
issues have attracted substantial attention. A crucial function provided by CPS is anomaly …

With the rapid adoption of Internet of Things (IoT) applications, the risk of cyber-attacks has
increased significantly, underscoring the need for efficient intrusion detection systems (IDS) …

Nowadays smart Internet of Things (IoT) devices are used briskly, and these devices
communicate with each other via wireless medium. However, this increase in IoT devices …

In recent days, for security services, an intrusion detection system (IDS) is a highly effective
solution (Louk MHL, Tama BA.“PSO-Driven Feature Selection and Hybrid Ensemble for …

In the realm of machine learning, the quality of the dataset plays a pivotal role in achieving
accurate predictions. However, high-dimensional data often presents a challenge, laden …

This research presents a feature selection and conversion technique for Wireless sensor
network (WSN) for the enhancement of classification and detection of intrusions. There are …