Trust is an important aspect of decision making for Internet applications and particularly
influences the specification of security policy, ie, who is authorized to perform actions as well …

An in-depth understanding of uncertainty is the first step to making effective decisions under
uncertainty. Machine/deep learning (ML/DL) has been hugely leveraged to solve complex …

Threat intelligence is the provision of evidence-based knowledge about existing or potential
threats. Benefits of threat intelligence include improved efficiency and effectiveness in …

The integration of social networking concepts into the Internet of things has led to the Social
Internet of Things (SIoT) paradigm, according to which objects are capable of establishing …

Uncertainty estimation is a key factor that makes deep learning reliable in practical
applications. Recently proposed evidential neural networks explicitly account for different …

We first describe a metric for uncertain probabilities called opinion, and subsequently a set
of logical operators that can be used for logical reasoning with uncertain propositions. This …

The development of subjective logic has been a journey, on which this book represents a
milestone. The original idea of subjective logic came to my mind in 1996, while I was a Ph …

Although much work in NLP has focused on simply determining what a document means,
we also must know whether or not to believe it. Fact-finding algorithms attempt to identify the …

Open networks allow users to communicate without any prior arrangements such as
contractual agreement or organisation membership. However, the very nature of open …

A frequent problem when dealing with data gathered from multiple sources on the web
(ranging from booksellers to Wikipedia pages to stock analyst predictions) is that these …