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Digital Video Source Identification Using Sensor Pattern Noise with Morphology Filtering

모폴로지 필터링 기반 센서 패턴 노이즈를 이용한 디지털 동영상 획득 장치 판별 기술

  • 이상형 (금오공과대학교 소프트웨어공학과) ;
  • 김동현 (금오공과대학교 소프트웨어공학과) ;
  • 오태우 (국가보안기술연구소) ;
  • 김기범 (국가보안기술연구소) ;
  • 이해연 (금오공과대학교 컴퓨터소프트웨어공학과)
  • Received : 2016.01.06
  • Accepted : 2016.07.05
  • Published : 2017.01.31

Abstract

With the advance of Internet Technology, various social network services are created and used by users. Especially, the use of smart devices makes that multimedia contents can be used and distributed on social network services. However, since the crime rate also is increased by users with illegal purposes, there are needs to protect contents and block illegal usage of contents with multimedia forensics. In this paper, we propose a multimedia forensic technique which is identifying the video source. First, the scheme to acquire the sensor pattern noise (SPN) using morphology filtering is presented, which comes from the imperfection of photon detector. Using this scheme, the SPN of reference videos from the reference device is estimated and the SPN of an unknown video is estimated. Then, the similarity between two SPNs is measured to identify whether the unknown video is acquired using the reference device. For the performance analysis of the proposed technique, 30 devices including DSLR camera, compact camera, camcorder, action cam and smart phone are tested and quantitatively analyzed. Based on the results, the proposed technique can achieve the 96% accuracy in identification.

Acknowledgement

Supported by : National Security Research Institute

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