
To fulfill global requirements for network security and privacy, anonymous communication systems have been extensively investigated and deployed over the world to provide anonymous communication services for users. Nonetheless, diverse de-anonymizing techniques have been proposed to compromise anonymity and impose a severe threat to anonymous communication systems. In this article, we classify the existing de-anonymizing techniques and provide an overview of these techniques. In addition, corresponding countermeasures are studied to mitigate the risks posed by these de-anonymizing techniques.
| 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). | 21 | |
| 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. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
