Literature DB >> 7862977

Authentication of digital medical images with digital signature technology.

J P Smith1.   

Abstract

PURPOSE: To determine whether digital signature technology (DST) can authenticate digital medical images to the same level of authenticity required for interbank electronic transfer of funds.
MATERIALS AND METHODS: Message digests were computed for two magnetic resonance images that differed only by the value of a single bit. RSA (Rivest, Shamir, and Adleman) public key cryptography was used to encrypt each message digest to form a digital signature for each image, a process analogous to the established use of RSA DST for electronic funds transfer. The process was then reversed to authenticate the original image from its digital signature.
RESULTS: Although the images differed by less than 0.000095%, their message digests differed at 94% of their characters. The digital signature of the original image proved that it was authentic and that the altered image was not authentic.
CONCLUSION: RSA DST can establish the authenticity of images to at least the level of confidence required for interbank electronic transfer of funds.

Entities:  

Mesh:

Year:  1995        PMID: 7862977     DOI: 10.1148/radiology.194.3.7862977

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  4 in total

1.  Meeting the security requirements of electronic medical records in the ERA of high-speed computing.

Authors:  H O Alanazi; A A Zaidan; B B Zaidan; M L Mat Kiah; S H Al-Bakri
Journal:  J Med Syst       Date:  2014-12-07       Impact factor: 4.460

2.  A review of medical image watermarking requirements for teleradiology.

Authors:  Hussain Nyeem; Wageeh Boles; Colin Boyd
Journal:  J Digit Imaging       Date:  2013-04       Impact factor: 4.056

3.  Security for the digital information age of medicine: issues, applications, and implementation.

Authors:  M A Epstein; M S Pasieka; W P Lord; S T Wong; N J Mankovich
Journal:  J Digit Imaging       Date:  1998-02       Impact factor: 4.056

4.  ReportFlow: an application for EEG visualization and reporting using cloud platform.

Authors:  S Bertuccio; G Tardiolo; F M Giambò; G Giuffrè; R Muratore; C Settimo; A Raffa; S Rigano; A Bramanti; N Muscarà; M C De Cola
Journal:  BMC Med Inform Decis Mak       Date:  2021-01-06       Impact factor: 2.796

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.