The risk of cyberattacks against businesses has risen considerably, with Business Email
Compromise (BEC) schemes taking the lead as one of the most common phishing attack …

The rapid adoption of Industry 4.0 has seen Information Technology (IT) networks
increasingly merged with Operational Technology (OT) networks, which have traditionally …

Abstract This research builds Security Information & Event Management (SIEM) based on
live analysis using machine learning on Intrusion Detection System (IDS). To implement a …

Purpose The purpose of this study is to increase awareness of current supply chain (SC)
security-related issues by providing an extensive analysis of existing SC security solutions …

Early and accurate anomaly detection in critical infrastructure (CI), such as water treatment
plants and electric power grid, is necessary to avoid plant damage and service disruption …

Anomaly-based intrusion detection promises to detect novel or unknown attacks on
industrial control systems by modeling expected system behavior and raising corresponding …

Fast and accurate detection of cyberattacks is a key element for a cyber-resilient power
system. Recently, data-driven detectors and physics-based Moving Target Defences (MTD) …

A method referred to as PbNN is proposed to detect cyber-physical attacks through the
identification of resulting anomalies in the process dynamics of the underlying ICS. Unlike …

Abstract The use of Artificial Intelligence (AI) is growing in areas where decisions and
consequences have high-stakes such as larger scale software, critical infrastructure, and …

A fundamental problem in the realm of cyber-physical security of smart water networks is
attack detection, a key step towards designing adequate countermeasures. This task is …