Performance analysis of image steganography using wavelet transform for safe and secured transaction

Internet applications are increased and growing at efficient way. By this technological growth, data communication in the internet in secured way has got a challenging task. Transmitting information in network is a great risk. Hacking the data and use those data for their benefits is done by intruders. To control these unwanted acts, steganography is used. It ensures safety of secret message. Invisible communication is a study by Steganography and it denotes with communicating message hiding. Data embedding can make in transform and spatial domain for secret communication, military communication, multimedia (hiding, copyright protection), authentication etc. A best steganography algorithm will have maximum embedding capacity, high fidelity and the good security level. Image Steganography has the robustness and security problem in the existing work. For the defence application, social problems such as terrorists, more number of attacks (cyber) and Geometric attack are caused. To overcome such drawbacks, this research work proposes Discrete Wavelet Transform (DWT) which has more advantages than other transforms technique like DCT (Discrete Cosine Transform). This is because of quality scalability, Interest in region coding, low bit rate transmission which is quickly operating and also it is compatible to Visual System by Human that provides good perception quality. Geometric attack induces synchronization errors between the first image and also the extracted stego image throughout the detection method during which its positions are modified. Image characters are analyzed well by Wavelet Space - frequency property of localization which makes additional strong to the attack such as geometric. This property will enlarge the embedded area and improves the security. Hence DWT results in high imperceptibility and PSNR in range of 30-54 dB.