Chapter 1 - Perceptual hashing-based novel security framework for medical images

Abstract

The security of medical images carrying important patient information and is a challenging issue when images are transmitted across public channels. These images are often faced with various kinds of intentional and unintentional attacks during the transmission process. To enhance the security of medical information systems and protect medical data, a novel security framework is presented in this chapter using a combination of zero watermarking and perceptual hashing. First, robust invariant features are extracted from the medical image using scale invariant feature transform and discrete cosine transform followed by a quantization process to generate the hash sequence. Finally, an encrypted watermark is used in the construction of a digital signature corresponding to the original medical images. Simulation results demonstrate that the proposed technique has greater influence on robustness against conventional attacks as well as geometric attacks.