The coronavirus is considered this century's most disruptive catastrophe and global concern.
This disease has prompted extreme social, psychological and economic impacts affecting …

Intrusion detection is the core topic of network security, and the intrusion detection algorithm
based on deep learning has become a research hotspot in network security. In this paper, a …

With recent advances in the Internet of Things (IoT) technology, more people can have
instant and easy access to the IoT network of vast and diverse interconnected devices (eg …

The detection technique for IP packet header modifications associated with store-and-
forward operation pertains to a methodology or mechanism utilized for the identification and …

Despite the fact that satellite-terrestrial systems have advantages such as high throughput,
low latency, and low energy consumption, as well as low exposure to physical threats and …

The rapid advancement of network architectures, protocols, and tools poses significant
challenges to network security, especially due to the use of AI-based tools by cybercriminals …

This paper presents a novel framework for intrusion detection specially designed for
cyberattacks, such as Denial-of-Service, Distributed Denial-of-Service, Distributed Reflection …

Network intrusion is a huge harmful activity to the privacy of the data sharing network. The
activity will result in a cyber-attack, which causes damage to the system as well as the user's …

The emergence of cyber-physical smart grid (CPSG) systems has revolutionized the
traditional power grid by enabling the bidirectional energy flow between consumers and …

The objective of Advanced Persistent Threat (APT) attacks is to exploit Cyber-Physical
Systems (CPSs) in combination with the Industrial Internet of Things (I-IoT) by using fast …