With machine learning (ML) services now used in a number of mission-critical human-facing
domains, ensuring the integrity and trustworthiness of ML models becomes all important. In …

Internet of Things (IoT) has become an integral part of a smart community that connects
computing devices, smart objects, and mechanical and digital machines, having unique …

Machine learning (ML) plays a key role in Intelligent Industrial Internet of Things (IIoT)
applications. Processing of the computation-intensive ML tasks can be largely enhanced by …

Trustworthiness is an important indicator for service selection and recommendation in the
cloud environment. However, predicting the trust rate of a cloud service based on its …

Cloud services have become a popular and flexible solution for providing components to
build service-based systems. A component's trustworthiness is a key measure that can guide …

The Internet of Things (IoT) is an evolving network of billions of interconnected physical
objects, such as, numerous sensors, smartphones, wearables, and embedded devices …

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 …

In recent years, ML (Machine Learning) models that have been trained in data centers can
often be deployed for use on edge devices. When the model deployed on these devices …

In this paper, we propose a trustworthy service provisioning scheme for Safety-as-a-Service
(Safe-aaS) infrastructure in IoT-based intelligent transport systems. Typically, a Safe-aaS …

Machine learning (ML) is increasingly used to implement advanced applications with
nondeterministic behavior, which operate on the cloud–edge continuum. The pervasive …