The Internet of Things has facilitated access to a large volume of sensitive information on
each participating object in an ecosystem. This imposes many threats ranging from the risks …

The medical industry is increasingly digitalized and Internet-connected (eg, Internet of
Medical Things), and when deployed in an Internet of Medical Things environment, software …

Intrusion detection systems (IDSs) are the frontier of defense against transmissible cyber
threats that spread across distributed systems. Modern IDSs overcome the limitation of …

To construct an intelligent alarm filter is a promising solution to help reduce false alarms for
an intrusion detection system (IDS), in which an appropriate algorithm can be selected in an …

Intrusions are becoming more complicated with the recent development of adversarial
techniques. To boost the detection accuracy of a separate intrusion detector, the …

In recent years, the lack of network traffic analysis and flexible network topologies reduce the
performance of the multi-channel multi-radio wireless networks. As high scalability of its …

With the increasing number of Internet-of-Things (IoT) devices, intrusion detection systems
(IDSs) have been widely deployed in a distributed or collaborative setting, in which a …

Cyber attacks are greatly expanding in both size and complexity. To handle this issue,
research has been focused on collaborative intrusion detection networks (CIDNs), which …

Along with the many benefits of IoT, its heterogeneity brings a new challenge to establish a
trustworthy environment among the objects due to the absence of proper enforcement …

Intrusion detection networks (IDNs) have been developed to improve the detection accuracy
of a single IDS, by collecting intrusion intelligence knowledge and learning experience from …