loading
  • Login
  • Sign-Up

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Riccardo Satta 1 and Pasquale Stirparo 2

Affiliations: 1 Joint Research Centre (JRC) and European Commission, Italy ; 2 Joint Research Centre (JRC), European Commission and Royal Institute of Technology (KTH), Italy

ISBN: 978-989-758-009-3

Keyword(s): Social Network, Account, Sensor Pattern Noise, Identity, Linking, Digital Image Forensics, Multimedia Forensics.

Related Ontology Subjects/Areas/Topics: Applications and Services ; Computer Vision, Visualization and Computer Graphics ; Digital Photography ; Image Formation and Preprocessing ; Image Formation, Acquisition Devices and Sensors ; Multimedia Forensics

Abstract: Digital imaging devices have gained an important role in everyone’s life, due to a continuously decreasing price, and of the growing interest on photo sharing through social networks. As a result of the above facts, everyone continuously leaves visual “traces” of his/her presence and life on the Internet, that can constitute precious data for forensic investigators. Digital Image Forensics is the task of analysing such digital images for collecting evidences. In this field, the recent introduction of techniques able to extract a unique “fingerprint” of the source camera of a picture, e.g. based on the Sensor Pattern Noise (SPN), has set the way for a series of useful tools for the forensic investigator. In this paper, we propose a novel usage of SPN, to find social network accounts belonging to a certain person of interest, who has shot a given photo. This task, that we name Picture-to-Identity linking, can be useful in a variety of forensic cases, e.g., finding stolen camera devices, cyber-bullying, or on-line child abuse. We experimentally test a method for Picture-to-Identity linking on a benchmark data set of publicly accessible social network accounts collected from the Internet. We report promising result, which show that such technique has a practical value for forensic practitioners. (More)

PDF ImageFull Text

Download
Sign In Guest: Register as new SCITEPRESS user or Join INSTICC now for free.

Sign In SCITEPRESS user: please login.

Sign In INSTICC Members: please login. If not a member yet, Join INSTICC now for free.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 23.20.218.77. INSTICC members have higher download limits (free membership now)

In the current month:
Recent papers: 1 available of 1 total
2+ years older papers: 2 available of 2 total

Paper citation in several formats:
Satta R. and Stirparo P. (2014). On the Usage of Sensor Pattern Noise for Picture-to-Identity Linking through Social Network Accounts.In Proceedings of the 9th International Conference on Computer Vision Theory and Applications (VISIGRAPP 2014)ISBN 978-989-758-009-3, pages 5-11. DOI: 10.5220/0004682200050011

@conference{visapp14,
author={Riccardo Satta and Pasquale Stirparo},
title={On the Usage of Sensor Pattern Noise for Picture-to-Identity Linking through Social Network Accounts},
booktitle={Proceedings of the 9th International Conference on Computer Vision Theory and Applications (VISIGRAPP 2014)},
year={2014},
pages={5-11},
doi={10.5220/0004682200050011},
isbn={978-989-758-009-3},
}

TY - CONF

JO - Proceedings of the 9th International Conference on Computer Vision Theory and Applications (VISIGRAPP 2014)
TI - On the Usage of Sensor Pattern Noise for Picture-to-Identity Linking through Social Network Accounts
SN - 978-989-758-009-3
AU - Satta R.
AU - Stirparo P.
PY - 2014
SP - 5
EP - 11
DO - 10.5220/0004682200050011

Sorted by: Show papers

Note: The preferred Subjects/Areas/Topics, listed below for each paper, are those that match the selected paper topics and their ontology superclasses.
More...

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.

Show authors

Note: The preferred Subjects/Areas/Topics, listed below for each author, are those that more frequently used in the author's papers.
More...