Abstract The Internet of Things (IoT) ecosystem has proliferated based on the use of the
internet and cloud-based technologies in the industrial area. IoT technology used in the …

The evolution of the Internet and cloud-based technologies have empowered several
organizations with the capacity to implement large-scale Internet of Things (IoT)-based …

The IoT's quick development has brought up several security problems and issues that
cannot be solved using traditional intelligent systems. Deep learning (DL) in the field of …

Cybersecurity has emerged as a critical global concern. Intrusion Detection Systems (IDS)
play a critical role in protecting interconnected networks by detecting malicious actors and …

Cybersecurity attacks are becoming increasingly sophisticated and increasing with the
development of technology so that they present threats to both the private and public …

This work exploits the concept of one-class classifier applied to the problem of anomaly
detection in communication networks. The article presents the design of an innovative …

Ensuring the privacy and trustworthiness of smart city—Internet of Things (IoT) networks
have recently remained the central problem. Cyborg intelligence is one of the most popular …

Due to technological advancements in recent years, the availability and usage of smart
electronic gadgets have drastically increased. Adoption of these smart devices for a variety …

Abstract The Intrusion Detection System plays a significant role in discovering malicious
activities and provides better network security solutions than other conventional defense …

While there are references available in the literature regarding learning experiences with
Dataset-Based Learning (DBL) approaches, there is a noticeable absence of a standardized …