NDLI: Sensor pattern noise and image similarity for picture-to-identity linking

Content Provider	IET Digital Library
Author	Satta, Riccardo Ciardulli, Andrea
Abstract	Picture sharing through social networks has become a prominent phenomenon, producing a large amount of data that law enforcers may be entitled to use, under the proper legal framework, as a source of information for investigating a crime. In this work, the authors exploit digital camera ‘fingerprinting’ based on noise residuals (sensor pattern noise or SPN) to achieve a novel forensic task, named picture-to-identity linking. It consists of finding social network accounts that possibly belong to the author of a certain photo (e.g. showing illegal content). The rationale is that the author of the offending photo has likely used the same camera for taking other (legal) pictures, and posted them in a social network account. The authors extend a previous work on the topic by coupling SPN with visual image similarity, a useful cue when pictures have been taken in the same environment (e.g. a room). The authors also improve the framework by allowing for multiple-image queries, and thoroughly evaluate the performance on two corpora of images from social network accounts, including the impact of image modifications. Reported results show a robust improvement with respect to the previous work, and prove the usefulness of picture-to-identity as an aid for digital forensic investigations.
Starting Page	711
Ending Page	722
Page Count	12
ISSN	17519632
Volume Number	9
e-ISSN	17519640
Issue Number	Issue 5, Oct (2015)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-cvi/9/5
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-cvi.2014.0320
Journal	IET Computer Vision
Publisher	The Institution of Engineering and Technology
Publisher Date	2015-04-20
Access Restriction	Open
Rights License	Creative Commons Attribution-Non Commercial-No Derivs License (http://creativecommons.org/licenses/by-nc-nd/3.0/)
Subject Keyword	Camera Computer Vision And Image Processing Technique Data Security Digital Camera Fingerprinting Digital Forensic Digital Forensics Image Modifications Image Retrieval Image Sonsor Information Retrieval Technique Multiple-image Query Noise Residuals Optical, Image And Video Signal Processing Picture-to-identity Linking Sensor Pattern Noise Social Network Accounts SPN Visual Image Similarity
Content Type	Text
Resource Type	Article
Subject	Computer Vision and Pattern Recognition Software

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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