Use of sensor noise for source identification

Kwun Fung Lau, Ngai Fong Law, Wan Chi Siu

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

Abstract

A type of sensor noise known as photo response nonuniformity noise (PRNU) has been used in digital forensic applications. It can be considered as a fingerprint of the sensor which can uniquely identify each individual device. The reliability of the PRNU in device identification, however, depends on how accurate the noise is extracted from the digital data. If the noise is contaminated by the content of the digital data, the identification accuracy will drop. In this paper, we propose a novel wavelet-based denoising approach to reliably extract the PRNU. The denoising operation is applied adaptively so as to remove the scene content that is found in the noise. 10 cameras and 1133 samples are used to examine the effectiveness of the proposed method. Experimental results showed that the proposed method outperforms existing method in terms of identification accuracy and false acceptance rate.
Original languageEnglish
Title of host publication2015 International Conference on Noise and Fluctuations, ICNF 2015
PublisherIEEE
ISBN (Electronic)9781467383356
DOIs
Publication statusPublished - 2 Oct 2015
EventInternational Conference on Noise and Fluctuations, ICNF 2015 - Xian, China
Duration: 2 Jun 20156 Jun 2015

Conference

ConferenceInternational Conference on Noise and Fluctuations, ICNF 2015
CountryChina
CityXian
Period2/06/156/06/15

Keywords

  • Authentication
  • camera identification
  • digital forensic
  • image sensor
  • photo response nonuniformity noise

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Acoustics and Ultrasonics

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