Advanced watermarking technique to improve medical images’ security

Abstract

Advances in imaging technology have made medical images become one of the important sources for information in supporting accurate diagnoses and treatment decisions by doctors for their patients. However, the vulnerability of medical images' security is high. The images can be easily 'attacked', which altered their information that can lead to incorrect diagnoses or treatment. In order to make the images less vulnerable from outside attacks, this study proposes to secure them by advancing the watermarking using dual-layer fragile technique. It is expected that this dual-layer fragile watermarking will guarantee the integrity, authenticity, and confidentiality of patient's and any other important information and also the pixel data of the medical images. The work in this study implements two LSBs of image where the role of the first LSB is as a tamper detector, and the second LSB is used to store patient's and any other important information. Medical images of four deadliest diseases in Indonesia were used to test the proposed watermarking technique. Results from the conducted tests show that the proposed technique able to generate a watermarked image that has no noticeable changes compared to its original image, with PSNR value more than 44 dB and SSIM value of almost 1, where the tamper detector can correctly detect and localize any tampering on the watermarked image. Furthermore, the proposed technique has shown to have a higher level of security on medical images, compared to DICOM standard and standard watermarking method.

Survey: Recent Techniques of Image Fragile Watermarking

“…Ayu et al [20] The proposed technique provided dual-layer fragile digital watermarking, in which two watermarks are embedded in medical images. They employed Advanced Encryption Standard (AES) to encrypt the Electronic Patient Record (EPR) for confidentiality and authenticity, then used Secure Hash Algorithm (SHA256) to validate Digital Imaging and Communication in Medicine (DICOM) tags' integrity after embedding them in 2LSB as the initial fragile watermark.…”

Evaluation of weighted fusion for scalar images in multi-sensor network

“…Source images originate from a multi-sensor in the network. An application based on pixel by pixel execution to reform medical images is discussed in [14][15][16]. The enhancement in quality depends on the performance of fusion process [17][18][19] by comparing the fused image utilization to the usage of original images without fusing.…”

A novel key exchange algorithm for security in internet of things

“…Advanced encryption scheme (AES) and compression using Huffman coding are used and later concealed in using DWT [20]. Advancement of watermarking using dual-layer fragile technique is used in [21] that guarantees integrity, authenticity and authenticity of user data. This technique has shown higher level of security in medical image data.…”