The proliferation in Internet of Things (IoT) devices, which routinely collect sensitive information,
is demonstrated by their prominence in our daily lives. Although such devices simplify …

The proliferation and application of machine learning-based Intrusion Detection Systems (IDS)
have allowed for more flexibility and efficiency in the automated detection of cyber attacks …

The number of diverse interconnected Internet of Things (IoT) devices keeps increasing
exponentially, introducing new security and privacy challenges. These devices tend to become …

With the proliferation in the quantity and types of devices that may be included in an Internet
of Things (IoT) ecosystem, particularly in the context of a smart home, it is essential to …

Multiple governmental agencies and private organisations have made commitments for the
colonisation of Mars. Such colonisation requires complex systems and infrastructure that …

Abstract Machine learning based Intrusion Detection Systems (IDS) allow flexible and efficient
automated detection of cyberattacks in Internet of Things (IoT) networks. However, this …

The Internet-of-Things (IoT) enables enterprises to obtain profits from data but triggers data
protection questions and new types of cyber risk. Cyber risk regulations for the IoT however …

The widespread adoption of cloud-based and public legitimate services (CPLS) has inadvertently
opened up new avenues for cyber attackers to establish covert and resilient command-…

We explore the potential and practical challenges in the use of artificial intelligence (AI) in
cyber risk analytics, for improving organisational resilience and understanding cyber risk. The …

Industrial Cyber-Physical Systems (ICPS) are highly dependent on Supervisory Control and
Data Acquisition (SCADA) for process monitoring and control. Such SCADA systems are …