Title: Digital Camera Identification Using Sensor Pattern Noise

Year of Publication: Sep - 2015
Page Numbers: 30-35
Authors: Sang-Hyeong Lee , Tae-Woo Oh, Kibom Kim and Hae-Yeoun Lee
Conference Name: The Second International Conference on Information Security and Digital Forensics (ISDF2015)
- Malaysia

Abstract:


With the advance of IT technology, multimedia contents are widely used and distributed. Since novice uses them for illegal purpose, there are needs for protecting contents and blocking illegal usage through multimedia forensics. This paper presents a forensic technique for identifying digital camera using the sensor pattern noise. First, the way to acquire a sensor pattern noise which comes from the imperfection of photon detector against light is presented. Then, the way to identify the similarity of digital camera is explained after estimating the sensor pattern noises from the reference images and the unknown image. For the performance analysis of the proposed technique, 10 camera including DSLR and compact camera, smartphone, and camcorder are tested and analyzed quantitatively. Based on the results, the proposed technique can achieve the 99.6% identification accuracy.