  Wireless pervasive computing devices are rapidly penetrating our
environments, where e-Health is among the most critical ones. In the e-Health
environment it is not only important to address security and privacy issues
(which are usually in the focus), but also safety needs for appropriate
treatment. With an increasing proportion of pervasive (smart dust) devices
which lack computing power, security, privacy, and safety provisioning in such
environments is a demanding task - not to mention additional requirement about
their adaptive provisioning. However, some twenty years ago an interesting
research branch in computing domain appeared, called trust management. This
branch is considered as a very handy alternative to support traditional hard
security and privacy approaches. It is, therefore, often referred to as soft
security (privacy) provisioning mechanism. As trust is inherently adaptive and
as security and safety are much related, this paper presents a new approach
where trust management is deployed in e-Health environments to enable adaptive
safety provisioning. This paper also introduces a trustworthiness calculation
framework that extends trust management methods with a comparative analysis of
computational trust in Internet of Things (IoT).
