  This paper primarily addresses the issue of identifying all possible levels
of digital anonymity, thereby allowing electronic services and mechanisms to be
categorised. For this purpose, we sophisticate the generic idea of anonymity
and, filling a niche in the field, bring the scope of trust into the focus of
categorisation. One major concern of our work is to propose a novel and
universal taxonomy which enables a dynamic, trust-based comparison between
systems at an abstract level. On the other hand, our contribution intentionally
does not offer an alternative to anonymity metrics, but neither is it concerned
with methods of anonymous data retrieval (cf. data-mining techniques). However,
for ease of comprehension, it provides a systematic 'application manual' and
also presents a lucid overview of the correspondence between the current and
related taxonomies. Additionally, as a generalisation of group signatures, we
introduce the notion of group schemes.
