Conference item
Detection of steganographic techniques on Twitter
- Abstract:
- We propose a method to detect hidden data in English text. We target a system previously thought secure, which hides messages in tweets. The method brings ideas from image steganalysis into the linguistic domain, including the training of a feature-rich model for detection. To identify Twitter users guilty of steganography, we aggregate evidence; a first, in any do- main. We test our system on a set of 1M steganographic tweets, and show it to be effective.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
Actions
Authors
Funding
+ Engineering and Physical Sciences Research Council
More from this funder
Funding agency for:
Wilson, A
Bibliographic Details
- Publisher:
- Association for Computational Linguistics Publisher's website
- Volume:
- 2015
- Pages:
- 2564–2569
- Host title:
- Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing
- Publication date:
- 2015-01-01
- ISBN:
- 9781941643327
Item Description
- Language:
- English
- Keywords:
- Subjects:
- UUID:
-
uuid:ab678459-e414-4819-86d0-d5ae8dcfd370
- Local pid:
- ora:12237
- Deposit date:
- 2015-09-09
Terms of use
- Copyright holder:
- Association for Computational Linguistics
- Copyright date:
- 2015
- Notes:
-
Proceedings of the 2015 Conference on Empirical Methods in Natural
Language Processing, Lisbon, Portugal, 17-21 September 2015. © 2015 Association for Computational Linguistics
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