Graduate School and Research Center in Digital Sciences

SOCRatES: A database of realistic data for SOurce Camera REcognition on Smartphones

Galdi, Chiara; Hartung, Frank; Dugelay, Jean-Luc

ICPRAM 2019, 8th International Conference on Pattern Recognition Applications and Methods, 19-21 February 2019, Prague, Czech Republic

SOCRatES: SOurce Camera REcognition on Smartphones, is an image and video database especially designed for source digital camera recognition on smartphones. It answers to two specific needs, the need of wider pools of data for the developing and benchmarking of image forensic techniques, and the need to move the application of these techniques on smartphones, since, nowadays, they are the most employed devices for image capturing and video recording. What makes SOCRatES different from all previous published databases is that it is collected by the smartphone owners themselves, introducing a great heterogeneity and realness in the data. SOCRatES is currently made up of about 9.700 images and 1000 videos captured with 103 different smartphones of 15 different makes and about 60 different models. With 103 different devices, SOCRatES is the database for source digital camera identification that includes the highest number of different sensors. In this paper we describe SOCRatES and we present a baseline assessment based on the Sensor Pattern Noise computation.

Document Doi Bibtex

Title:SOCRatES: A database of realistic data for SOurce Camera REcognition on Smartphones
Keywords:Sensor Pattern Noise, PRNU, Source Camera Identification, Video, Smartphone, Database.
Department:Digital Security
Eurecom ref:5808
Copyright: Scitepress
Bibtex: @inproceedings{EURECOM+5808, doi = {}, year = {2019}, title = {{SOCR}at{ES}: {A} database of realistic data for {SO}urce {C}amera {RE}cognition on {S}martphones}, author = {{G}aldi, {C}hiara and {H}artung, {F}rank and {D}ugelay, {J}ean-{L}uc}, booktitle = {{ICPRAM} 2019, 8th {I}nternational {C}onference on {P}attern {R}ecognition {A}pplications and {M}ethods, 19-21 {F}ebruary 2019, {P}rague, {C}zech {R}epublic}, address = {{P}rague, {CZECH} {REPUBLIC}}, month = {02}, url = {} }
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