
The set of mappings and functions (transformations) that are applied to a cryptographic secure pseudo-random sequence generator (CSPRSG), specify the security strength of that generator. Various types of transformations are suggested and a considerable number of generators are designed accordingly. These transformations should satisfy certain types of prescripts to produce a good CSPRSG. We found that a class of transformations within a certain generator gives guidance to the way the generator can be analyzed. In other words, the class of transformation simplifies the process of measuring the generator strength.
| 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). | 0 | |
| 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 |
