As the number of Internet-connected systems rises, cyber analysts find it increasingly difficult
to effectively monitor the produced volume of data, its velocity and diversity. Signature-based …

The paper presents a classification of cyber attacks within the context of the state of the art in
the maritime industry. A systematic categorization of vessel components has been …

The fourth industrial revolution is marked by the rapid growth of Internet of Things (IoT)
technology, leading to an increase in the number of IoT devices. Unfortunately, this also …

Traditional firewalls and data encryption techniques can no longer match the demands of
current IoT network security due to the rising amount and variety of network threats. In order …

Recently, the number of Internet of Things (IoT)-connected devices has increased daily.
Consequently, cybersecurity challenges have increased due to the natural diversity of the …

Few‐shot learning (FSL) is a core topic in the domain of machine learning (ML), in which the
focus is on the use of small datasets to train the model. In recent years, there have been …

Recently, intrusion detection methods based on supervised deep learning techniques (DL)
have seen widespread adoption by the research community, as a result of advantages, such …

Radio frequency (RF) technology has been applied to enable advanced behavioral sensing
in human-computer interaction. Due to its device-free sensing capability and wide …

Insider threats pose a significant concern for critical information infrastructures. Graph neural
networks are widely used for detection due to their ability to model complex relationships …

Rapid technological improvements have brought significant hazards to sensitive data and
information. Cyberspace has connected various data structures, ranging from private …