Authors : Latifah Uswatun Hasanah, Tito Waluyo Purboyo and Randy Erfa Saputra
Abstract: Nowadays, with the development of internet media and applications, that use the Internet is increasing also a crime in information systems. Information security becomes very important in human life as a social being. Much confidential information such as personal data, financial data and even state secrets that need to be protected, so that, it cannot be misused by others who are not authorized to do so. One technique to maintain information security is by using steganography technique. Steganography is a technique where messages can be hidden by certain methods. Steganography on the image is the development of science from steganography. In this final project will explain about the development of steganography application on TIFF (Tagged Image File Format) digital image using Bit-Plane Complexity Segmentation (BPCS) method which utilizes the human vision characteristic that cannot see the change of binary pattern that happened in the picture and spread spectrum in message randomization. The final part of this final project is to calculate the parameters commonly used as an indicator to measure the similarity of two images, namely the Mean Square Error (MSE) and Peak Signal to Noise Ratio (PSNR) value, resulting in the quality of the digital image file that has been inserted the message did not undergo any significant changes and the data residing in the digital image could be re-extracted.
Latifah Uswatun Hasanah, Tito Waluyo Purboyo and Randy Erfa Saputra, 2020. Analysis and Implementation of Steganography on Tiff Image using Bit-Plane Complexity Segmentation (BPCS) and Spread Spectrum Method. Journal of Engineering and Applied Sciences, 15: 2529-2535.