Abstract: The sensor pattern noise based method exploits the inherent fingerprint of the camera sensor and is universally applicable. This method has the best performance reported so far among the existing methods and only method effective in lossy wireless network incorporating wireless channel characteristics and protection from security threats like blurring, blocking and spoofing attack. Experiment test was conducted with 20 test each on 8 videos of eight wireless cameras taking randomly 5 frames of the video to be tested using Sensor Pattern Noise based on correlation based coeffient matching and our proposed work based on Gaussian Mixture Model matching. It leads us to conclusion that it is more reliable, accurate and less Complex. It is applicable on different size video, requirement of random frames is very less as compared to existed work and help to create trained data set only once.
Keywords: correlation coefficient, Gaussian mixture models, sensor pattern noise.