| Title | Enhancing Security in Medical Image Informatics with Various Attacks |
| Publication Type | Conference Paper |
| Year of Publication | 2019 |
| Authors | Umamageswari, A., Jebasheela, A., Ruby, D., Leo Vijilious, M.A. |
| Conference Name | 2019 Innovations in Power and Advanced Computing Technologies (i-PACT) |
| Keywords | Arnold’s Cat Map, authorisation, authorized medical experts, Aycan sample digital images, cryptography, digital signature, digital signatures, digital watermarking, diseases, electronic patient record, EPR, extraction process, Human Behavior, image archives, Image coding, image watermarking, Internet, Kerberos, medical data, Medical Expert biometric information, Medical Expert Communication, medical image authentication, Medical image compression, Medical image informatics, medical image processing, medical information systems, Metrics, National Institute of Health, NIH, pubcrawl, Region of Interest and Non-Interest, Resiliency, reversible watermarking, surgery, telemedicine |
| Abstract | The objective of the work is to provide security to the medical images by embedding medical data (EPR-Electronic Patient Record) along with the image to reduce the bandwidth during communication. Reversible watermarking and Digital Signature itself will provide high security. This application mainly used in tele-surgery (Medical Expert to Medical Expert Communication). Only the authorized medical experts can explore the patients' image because of Kerberos. The proposed work is mainly to restrict the unauthorized access to get the patients'data. So medical image authentication may be achieved without biometric recognition such as finger prints and eye stamps etc. The EPR itself contains the patients' entire history, so after the extraction process Medical expert can able to identify the patient and also the disease information. In future we can embed the EPR inside the medical image after it got encrypted to achieve more security. To increase the authentication, Medical Expert biometric information can be embedded inside the image in the future. Experiments were conducted using more than 500 (512 x 512) image archives in various modalities from the NIH (National Institute of Health) and Aycan sample digital images downloaded from the internet and tests are conducted. Almost in all images with greater than 15000 bits embedding size and got PSNR of 60.4 dB to 78.9 dB with low distortion in received image because of compression, not because of watermarking and average NPCR (Number of Pixels Change Rate) is 98.9 %. |
| DOI | 10.1109/i-PACT44901.2019.8960213 |
| Citation Key | umamageswari_enhancing_2019 |
Enhancing Security in Medical Image Informatics with Various Attacks