Sang-Hyeong Lee, Dong-Hyun Kim, Tae-Woo Oh, Ki-Bom Kim, Hae-Yeoun Lee

KIPS Transactions on Software and Data Engineering, Vol. 6, No. 1, pp. 15-22, Jan. 2017
10.3745/KTSDE.2017.6.1.15,   PDF Download:
Keywords: Multimedia Forensics, Sensor Pattern Noise, Morphology Filtering, Video Source Identification
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.

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