Name
Abstract | ||
|---|---|---|
Research into the nature and structure of ‘Dark Webs’ such as Tor has largely focused upon manually labelling a series of crawled sites against a series of categories, sometimes using these labels as a training corpus for subsequent automated crawls. Such an approach is adequate for establishing broad taxonomies, but is of limited value for specialised tasks within the field of law enforcement. Contrastingly, existing research into illicit behaviour online has tended to focus upon particular crime types such as terrorism. A gap exists between taxonomies capable of holistic representation and those capable of detailing criminal behaviour. The absence of such a taxonomy limits interoperability between agencies, curtailing development of standardised classification tools. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1016/j.diin.2017.12.003 | Digital Investigation |
Keywords | DocType | Volume |
Dark web,Computer forensics,Conceptual models,Focused crawls,Machine learning,Child pornography,Tor motivation model | Journal | 24 |
ISSN | Citations | PageRank |
1742-2876 | 2 | 0.38 |
References | Authors | |
12 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Janis Dalins | 1 | 6 | 1.13 |
| Janis Dalins | 2 | 6 | 1.13 |
| Campbell Wilson | 3 | 23 | 6.62 |
| Mark Carman | 4 | 563 | 49.18 |