The rapid growth of Industry 4.0 and predictive methods fostered a great potential for state-of-
the-art techniques in the industrial sector, especially in smart factories. The equipment …

Food security is currently a major concern due to the growing global population, the
exponential increase in food demand, the deterioration of soil quality, the occurrence of …

In the past few years, the main research efforts regarding General Data Protection
Regulation (GDPR)-compliant data sharing have been focused primarily on informed …

Abstract Sharing Internet of Things (IoT) data across different sectors, such as in smart cities,
becomes complex due to heterogeneity. This poses challenges related to a lack of …

Failure prediction in a population of hard drives remains challenging due to the extreme
class imbalance. Many existing failure prediction methods rely on problematic resampling …

The environmental pressure, CO2 emissions (including embodied energy) and delivery risks
of our digital infrastructures are increasing. The exponentially growing digitisation of …

Identifying and anticipating potential failures in the cloud is an effective method for
increasing cloud reliability and proactive failure management. Many studies have been …

Penetration testing is an effective method of making computers secure. When conducting
penetration testing, it is necessary to fully understand the various elements in the …

The General Data Protection Regulation (GDPR) has imposed strict requirements for data
sharing, one of which is informed consent. A common way to request consent online is via …

Latent sector errors (LSEs) in disk drives cause significant outages, data loss, and
unreliability in large-scale cloud storage systems, posing not only technical challenges but …