Effect of Environmental Conditions on PRNU

Rohan, P; Singh, P; Mohanty, M

Effect of Environmental Conditions on PRNU

Rohan, P Singh, P Mohanty, M

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Publisher:: IEEE
Publication Type:: Conference Proceeding
Citation:: Proceedings - 2021 IEEE 24th International Conference on Computational Science and Engineering, CSE 2021, 2022, 00, pp. 154-161
Issue Date:: 2022-01-01

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Field	Value	Language
dc.contributor.author	Rohan, P
dc.contributor.author	Singh, P
dc.contributor.author	Mohanty, M https://orcid.org/0000-0002-0258-4586
dc.date	2021-10-20
dc.date.accessioned	2023-05-29T03:06:43Z
dc.date.available	2023-05-29T03:06:43Z
dc.date.issued	2022-01-01
dc.identifier.citation	Proceedings - 2021 IEEE 24th International Conference on Computational Science and Engineering, CSE 2021, 2022, 00, pp. 154-161
dc.identifier.isbn	9781665416603
dc.identifier.uri	http://hdl.handle.net/10453/170506
dc.description.abstract	Photo Response Non-Uniformity (PRNU) has been used reliably in the field of digital forensics to identify the camera for multiple applications. Given its importance, we study how the different environmental conditions affect this unique camera property in this paper. We collected 18 different cameras and created a dataset by clicking photos of 10 different objects in the varied environmental conditions. To be specific, we clicked photos of objects in the sun, putting water droplets on the camera lens, placing objects inside water and, putting dust on the camera lens, apart from clicking the normal images of the objects in a closed room. To compute the PRNU of each of these 18 cameras, we clicked nearly 30 to 50 images of the plain surfaces. We then analyzed the behavior of these cameras, considering the computed PRNU as the baseline. We used the Peak to Correlation Energy (PCE) to evaluate a match for the camera. Here, we present the experimental results and the possible causes of failure for the PRNU for the specific cameras in varied environmental conditions.
dc.language	en
dc.publisher	IEEE
dc.relation.ispartof	Proceedings - 2021 IEEE 24th International Conference on Computational Science and Engineering, CSE 2021
dc.relation.ispartof	IEEE International Conference on Computational Science and Engineering
dc.relation.isbasedon	10.1109/CSE53436.2021.00031
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	Effect of Environmental Conditions on PRNU
dc.type	Conference Proceeding
utslib.citation.volume	00
utslib.location.activity	Shenyang, China
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Science
pubs.organisational-group	/University of Technology Sydney/Strength - CFS - Centre for Forensic Science
pubs.organisational-group	/University of Technology Sydney/Faculty of Science/School of Mathematical and Physical Sciences
utslib.copyright.status	closed_access	*
pubs.consider-herdc	false
dc.date.updated	2023-05-29T03:06:38Z
pubs.finish-date	2021-10-22
pubs.place-of-publication	Piscataway, USA
pubs.publication-status	Published
pubs.start-date	2021-10-20
pubs.volume	00
dc.location	Piscataway, USA

Abstract:

Photo Response Non-Uniformity (PRNU) has been used reliably in the field of digital forensics to identify the camera for multiple applications. Given its importance, we study how the different environmental conditions affect this unique camera property in this paper. We collected 18 different cameras and created a dataset by clicking photos of 10 different objects in the varied environmental conditions. To be specific, we clicked photos of objects in the sun, putting water droplets on the camera lens, placing objects inside water and, putting dust on the camera lens, apart from clicking the normal images of the objects in a closed room. To compute the PRNU of each of these 18 cameras, we clicked nearly 30 to 50 images of the plain surfaces. We then analyzed the behavior of these cameras, considering the computed PRNU as the baseline. We used the Peak to Correlation Energy (PCE) to evaluate a match for the camera. Here, we present the experimental results and the possible causes of failure for the PRNU for the specific cameras in varied environmental conditions.

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http://hdl.handle.net/10453/170506