Home networks increasingly support important networked applications with limited
professional network administration support, while sophisticated attacks pose enormous …

Smart cities have attracted a lot of attention from interdisciplinary research, and plenty of
artificial intelligence based solutions have been proposed. However, cyber security has …

Variations in commands executed as part of the attack process can be used to determine the
behavioural patterns of IoT attacks. Existing approaches rely on the domain knowledge of …

Attackers may attempt exploiting Internet of Things (IoT) devices to operate them unduly as
well as to gather personal data of the legitimate device owners'. Vulnerability Assessment …

With the widespread use of Internet of Things (IoT) devices, malware detection has become
a hot spot for both academic and industrial communities. Existing approaches can be …

IP cameras and digital video recorders, as part of the Internet of Surveillance Things (IoST)
technology, can sometimes allow unauthenticated access to the video feed or management …

With Internet-of-Things (IoT) devices gaining popularity, dedicated monitoring systems which
accurately detect intrusion traffic for them are in high demand. Existing methods mainly use …

In recent years, machine learning-based anomaly detection (AD) has become an important
measure against security threats from Internet of Things (IoT) networks. Machine learning …

Existing studies using deception are ad-hoc attempts and few theoretical models have been
designed to plan and integrate deception. We theorise that a pre-planning stage should be a …

Failure Modes and Effects Analysis (FMEA) is the process of identifying potential failure
modes, their causes and effects associated with a product, process or system. In this paper …