Application of Data Hiding in Audio -Video Using Anti Forensics Technique for Authentication and data Security

Abstract

LSB Steganography is a method where one can encrypt image/text into an image/Audio for secured data transmission. This paper deals with the detection of hidden bits in the Least Significant Bit (LSB) plane of a natural image /audio. The mean level and the covariance matrix of the image, considered as a quantized Gaussian random matrix, are unknown. An adaptive statistical test is designed such that its probability distribution is always independent of the unknown image parameters, while ensuring a high probability of hidden bits detection. This test is based on the likelihood ratio test except that the unknown parameters are re-placed by estimates based on a local linear regression model. It is shown that this test maximizes the probability of detection as the image size becomes arbitrarily large and the quantization step vanishes. This provides an asymptotic upper-bound for the detection of hidden bits based on the LSB replacement mechanism. System is developed on a Laptop/PC where python-openCV is installed and further data is sent to ARM processor for manipulation.
Keywords─ Adaptive detection; information hiding; python-open CV; ARM7 LPC2148; XBEE PRO