Internet of Things (IoT) technology is prospering and entering every part of our lives, be it
education, home, vehicles, or healthcare. With the increase in the number of connected …

Due to the rising dependency on digital technology, cybersecurity has emerged as a more
prominent field of research and application that typically focuses on securing devices …

In recent years, organizations and enterprises put huge attention on their network security.
The attackers were able to influence vulnerabilities for the configuration of the network …

Many intrusion detection and prevention systems (IDPS) have been introduced to identify
suspicious activities. However, since attackers are exploiting new vulnerabilities in systems …

Recently, network intrusion attacks, particularly new unknown attacks referred to as zero-day
attacks, have become a global phenomenon. Zero-day network intrusion attacks constitute a …

With the introduction of the Internet to the mainstream like e-commerce, online banking,
health system and other day-to-day essentials, risk of being exposed to various are …

Anomaly detection is crucial in various applications, particularly cybersecurity and network
intrusion. However, a common challenge across anomaly detection techniques is the …

Large-scale Internet scans are a common method to identify victims of a specific attack.
Stateless scanning like in ZMap has been established as an efficient approach to probing at …

Over the last years, several works have proposed highly accurate machine learning (ML)
techniques for network-based intrusion detection systems (NIDS), that are hardly used in …

Network intrusion poses a severe threat to the Internet. Intrusion detection methods based
on deep learning are very effective to process and analyze intrusion data. On the one hand …