The Healthcare Internet-of-Things (H-IoT), commonly known as Digital Healthcare, is a data-
driven infrastructure that highly relies on smart sensing devices (ie, blood pressure monitors …

The significance of intrusion detection systems in networks has grown because of the digital
revolution and increased operations. The intrusion detection method classifies the network …

The global telecommunications industry is facing significant challenges due to the rapid
growth in data traffic and the growing environmental concerns associated with these …

As Industry 4.0 networks continue to evolve at a rapid pace, they are becoming increasingly
complex and distributed. These networks incorporate a range of technologies that are …

Network security has developed as a critical research subject as a result of the Rapid
advancements in the development of Internet and communication technologies over the …

To cope with the rising threats posed by network attacks, machine learning-based intrusion
detection systems (IDSs) have been intensively researched. However, there are several …

Intrusion analysis is essential for cybersecurity, but oftentimes, the overwhelming number of
false alerts issued by security appliances can prove to be a considerable hurdle. Machine …

This chapter explores the topic of a novel network-based intrusion detection system (NIDPS)
that utilises the concept of graph theory to detect and prevent incoming threats. With …

Rapid technological advances and network progress has occurred in recent decades, as
has the global growth of services via the Internet. Consequently, piracy has become more …

Intrusion detection systems built on artificial intelligence (AI) are presented as latent
mechanisms for actively detecting fresh attacks over a complex network. The authors used a …