Health informatics.
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Computational Biology↗
Biomedical subjects
Nazife Baykal
Publications and source records attributed to Nazife Baykal.
EVEREST: an efficient method for verification of digital signatures in real-time teleradiology.
The introduction of digital medical images requires a legally binding digital signature that guarantees authenticity and integrity of the image. In real-time teleradiology services, the system is expected to respond very quickly however to verify the signature a considerable amount of time is spent to compute the hash value of the image since the image size might be huge (tens of megabytes). Motivating by this fact, in this paper we propose EVEREST, an efficient methodology for verification. The key observation we have made is that in the traditional verification the processor of the verifying machine is idle (I/O blocked) while the image is downloaded. In EVEREST, to improve the real-time efficiency the receiver can perform most of the hash computation while he is receiving the image itself. One other important advantage of our scheme is the communication efficiency since getting the entire image file is no longer necessary to detect the tampering.
Algorithms↗
Survivable authentication for health information systems.
Possible solutions to establish a survivable authentication framework in a health information system including the one based on one-time passwords (OTPs) are discussed. A new convenient method to generate OTPs is proposed.
Algorithms↗
Integrated breast diseases research and cancer registry in Turkey.
A system we call BDRS is implemented as an integrated disease specific system for breast diseases in order to obtain and use patient health data for clinical research, cancer registry and clinical care. It is an open, flexible and modular system that supports multi-institutional and multi-viewed utilization of health data. Three-tier web based architecture, and object oriented technologies have been employed to ensure its extendibility. Exchange and sharing of health data have been implemented with XML.
Biomedical Research↗