The ever increasing number of cyber attacks requires the cyber security and forensic
specialists to detect, analyze and defend against the cyber threats in almost real-time. In …

Bridge infrastructure asset management system is a prevailing approach toward having an
effective and efficient procedure for monitoring bridges through their different development …

Contemporary institutions are consistently confronted with fraudulent activities that exploit
weaknesses in interconnected systems. Securing critical data against unauthorized access …

Using machine learning techniques to detect network intrusions is an important topic in
cybersecurity. A variety of machine learning models have been designed to help detect …

Cyber attacks are becoming more sophisticated and, hence, more difficult to detect. Using
efficient and effective machine learning techniques to detect network anomalies and …

Failures of dams cause immense property and environmental damages and take thousands
of lives. As such, the goal of this paper is to evaluate and predict the hazard potential level of …

Detection of evolving cyber attacks is a challenging task for conventional network intrusion
detection techniques. Various supervised machine learning algorithms have been …

In the next generation, 5G and beyond 5G, networks cyber-security solutions are
increasingly incorporating Artificial Intelligence (AI) and Machine Learning (ML) techniques …

Analyzing and detecting Border Gateway Protocol (BGP) anomalies are topics of great
interest in cybersecurity. Various anomaly detection approaches such as time series and …

Even with the continuous development of coating technologies, coating systems are
susceptible to corrosion-induced premature failures and unable to meet the anticipated …