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Formal Modeling for Magnetic Resonance Images Tamper Mitigation
Author(s) -
Luca Brunese,
Francesco Mercaldo,
Alfonso Reginelli,
Antonella Santone
Publication year - 2019
Publication title -
procedia computer science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.334
H-Index - 76
ISSN - 1877-0509
DOI - 10.1016/j.procs.2019.09.352
Subject(s) - computer science , encryption , reading (process) , magnetic resonance imaging , medical imaging , healthcare system , picture archiving and communication system , communications system , image (mathematics) , multimedia , human–computer interaction , computer security , artificial intelligence , health care , telecommunications , radiology , medicine , political science , law , economics , economic growth
The picture archiving and communication system is a medical imaging technology used primarily in healthcare organizations to store and digitally transmit electronic images and clinically-relevant reports. As demonstrated, these systems can be exploited by malicious users: in fact, considering that medical images are not digitally encrypted, any medical image modifications would be difficult to detect for a radiologist. To mitigate this aspect, in this paper a formal modelisation for picture archiving and communication system systems is proposed. The main aim is to avoid illegal writing and reading from components that should not do it, by representing the system components in terms of automa.

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