Most of the machine learning-based intrusion detection tools developed for Industrial
Control Systems (ICS) are trained on network packet captures, and they rely on monitoring …

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 …

Accurate detection of network-based attacks is crucial to prevent security breaches of
information systems. The recent application of deep learning approaches for network …

Advances in communication and networking technology leads to the use of internet-based
technology in Industrial Control System (ICS) applications. Simultaneously to the …

Abstract Software Defined Networks (SDNs) is an emerging concept in network
architectures, which divides the network operations into two, control and data, layers. In this …

Supervisory control and data acquisition (SCADA) systems are used with monitoring and
control purposes for the process not to fail in industrial control systems. Today, the increase …

A rising communication between modern industrial control infrastructure and the external
Internet worldwide has led to a critical need to secure the network from multifarious …

Misuse activity in computer networks constantly creates new challenges and difficulties to
ensure data confidentiality, integrity, and availability. The capability to identify and quickly …

Network management and multimedia data mining techniques have a great interest in
analyzing and improving the network traffic process. In recent times, the most complex task …

The main goal of Denial of Service (DoS) attack is to restrict authorized users from gaining
access to available services and resources or to prevent from processing the benign events …