Differential imaging forensics: a feasibility study
Differential imaging forensics: a feasibility study
We motivate and develop a new line of digital forensics. In the meanwhile, we propose a novel approach to photographer identification, a rarely explored authorship attribution problem. We report a proof-of-concept study, which shows the feasibility of our method. Our contributions include a new forensic method for photographer de-anonymization and revealing a novel privacy threat which had been ignored before. The success of our creation builds on top of a new optical side-channel which we have discovered, as well as on how to exploit it effectively. We also make the first attempt to bridge side channels and inverse problems, two fields that appear to be completely isolated from each other but have deep connections.
cs.CR
Bourquard, Aurélien
375041b1-655a-47b5-a8d4-6c3b7f476c2b
Yan, Jeff
a2c03187-3722-46c8-b73b-439eb9d1a10e
10 July 2022
Bourquard, Aurélien
375041b1-655a-47b5-a8d4-6c3b7f476c2b
Yan, Jeff
a2c03187-3722-46c8-b73b-439eb9d1a10e
[Unknown type: UNSPECIFIED]
Abstract
We motivate and develop a new line of digital forensics. In the meanwhile, we propose a novel approach to photographer identification, a rarely explored authorship attribution problem. We report a proof-of-concept study, which shows the feasibility of our method. Our contributions include a new forensic method for photographer de-anonymization and revealing a novel privacy threat which had been ignored before. The success of our creation builds on top of a new optical side-channel which we have discovered, as well as on how to exploit it effectively. We also make the first attempt to bridge side channels and inverse problems, two fields that appear to be completely isolated from each other but have deep connections.
Text
2207.04548v1
- Author's Original
Available under License Other.
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Published date: 10 July 2022
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cs.CR
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Local EPrints ID: 500762
URI: http://eprints.soton.ac.uk/id/eprint/500762
PURE UUID: 638a1ed7-3461-4868-8183-3c0229ac08be
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Date deposited: 13 May 2025 16:32
Last modified: 13 May 2025 16:32
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Author:
Aurélien Bourquard
Author:
Jeff Yan
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