
Various protocols in the cryptography and distributed systems literature assume some notion of time: One major (but not the only) example are "synchronous" models which assume that a protocol is executed in a well defined sequence of rounds with round switches that occur (almost) simultaneously at the parties. In many of the considered models the notion of time is either implicit or it is closely interweaved with other mechanics of the model such that formally proving even simple statements becomes a tedious task. In this work we develop an abstract formal model that captures exactly how the availability of clocks with "weak" synchrony guarantees can benefit parties; in particular we show how and at what cost the "synchrony" of clocks can be improved. Proofs in this model are simple and the statements transfer to all models that satisfy the abstraction. The main contribution of this paper is not the actual statements we prove (which mostly verify folklore beliefs) but the formal model that follows the construction paradigm of abstract cryptography and allows to state these proofs in a simple yet rigorous manner. Indeed the paper is a step towards a treatment of synchronous cryptographic protocols in this constructive sense.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 1 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
