- Title
- Indirect information linkage for OSINT through authorship analysis of aliases
- Creator
- Layton, Robert; Perez, Charles; Birregah, Babiga; Watters, Paul; Lemercier, Marc
- Date
- 2013
- Type
- Text; Conference paper
- Identifier
- http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/40100
- Identifier
- vital:5749
- Identifier
- ISBN:03029743 (ISSN); 9783642403187 (ISBN)
- Abstract
- In this paper we examine the problem of automatically linking online accounts for open source intelligence gathering. We specifically aim to determine if two social media accounts are shared by the same author, without the use of direct linking evidence. We profile the accounts using authorship analysis and find the best matching guess. We apply this to a series of Twitter accounts identified as malicious by a methodology named SPOT and find several pairs of accounts that belong to the same author, despite no direct evidence linking the two. Overall, our results show that linking aliases is possible with an accuracy of 84%, and using our automated threshold method improves our accuracy to over 90% by removing incorrectly discovered matches. © Springer-Verlag 2013.
- Publisher
- Gold Coast, QLD Springer-Verlag
- Relation
- Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 17th Pacific-Asia Conference on Knowledge Discovery and Data Mining Vol. 7867 LNAI, p. 36-46
- Rights
- This metadata is freely available under a CCO license
- Subject
- Authorship analysis; Best matching; Information linkages; Open source intelligence; Social media; Threshold methods
- Reviewed
- Hits: 1127
- Visitors: 1123
- Downloads: 0
| Thumbnail | File | Description | Size | Format |
|---|