Nowadays, network intrusion is considered as one of the major concerns in network
communications. Thus, the developed network intrusion detection systems aim to identify …

The Internet of Things (IoT) cyberattacks of fully integrated servers, applications, and
communications networks are increasing at exponential speed. As problems caused by the …

The research proposed in this article presents a novel improved version of the widely
adopted firefly algorithm and its application for tuning and optimising XGBoost classifier …

Due to the recent advancements in the Internet of things (IoT) and cloud computing
technologies and growing number of devices connected to the Internet, the security and …

With the advent of the “Internet plus” era, the Internet of Things (IoT) is gradually penetrating
into various fields, and the scale of its equipment is also showing an explosive growth trend …

Convolutional neural networks (CNNs) are the specific architecture of feed‐forward artificial
neural networks. It is the de‐facto standard for various operations in machine learning and …

A network intrusion detection system is critical for cyber security against illegitimate attacks.
In terms of feature perspectives, network traffic may include a variety of elements such as …

Because of the increase flow of network traffic and its significance to the provision of
ubiquitous services, cyberattacks attempt to compromise the security principles of …

To explore the advantages of adversarial learning and deep learning, we propose a novel
network intrusion detection model called SAVAER-DNN, which can not only detect known …

One of the major challenges in cybersecurity is the provision of an automated and effective
cyber-threats detection technique. In this paper, we present an AI technique for cyber-threats …