Authorship attribution in the dark web
| dc.contributor.advisor | Kent, Kenneth | |
| dc.contributor.advisor | Herpers, Rainer | |
| dc.contributor.author | Sennewald, Britta | |
| dc.date.accessioned | 2023-03-01T16:24:45Z | |
| dc.date.available | 2023-03-01T16:24:45Z | |
| dc.date.issued | 2020 | |
| dc.date.updated | 2023-03-01T15:02:07Z | |
| dc.description.abstract | This thesis is about authorship attribution (AA) within multiple Dark Web forums and the question of whether AA is possible beyond the boundaries of a single forum. AA can become a curse for users that try to protect their anonymity and simultaneously become a blessing for law enforcement groups that try to track users. To determine to what extent AA threatens the anonymity of Dark Web users, a dataset of four Dark Web forums was created. Within the analysis, two different approaches are considered: feeding classifiers with posts from two forums, and training classifiers with posts from another forum than what is used for testing. Even for the largest dataset, the author of a post is at least 94% within the top three most likely candidates. This shows that AA can be a danger to the anonymity of Dark Web users across the boundaries of different forums. | |
| dc.description.copyright | © Britta Sennewald, 2020 | |
| dc.format | text/xml | |
| dc.format.extent | xvii, 153 pages | |
| dc.format.medium | electronic | |
| dc.identifier.uri | https://unbscholar.lib.unb.ca/handle/1882/13775 | |
| dc.language.iso | en_CA | |
| dc.publisher | University of New Brunswick | |
| dc.rights | http://purl.org/coar/access_right/c_abf2 | |
| dc.subject.discipline | Computer Science | |
| dc.title | Authorship attribution in the dark web | |
| dc.type | master thesis | |
| thesis.degree.discipline | Computer Science | |
| thesis.degree.fullname | Master of Computer Science | |
| thesis.degree.grantor | University of New Brunswick | |
| thesis.degree.level | masters | |
| thesis.degree.name | M.C.S. |
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