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The defense date of the thesis is 2014-08-04
The current date is 2019-06-20
This thesis will be accessible at 2019-08-04
URN etd-0804114-134539 Statistics This thesis had been viewed 709 times. Download 2 times. Author Hsin-Yen Chen Author's Email Address No Public. Department Computer Science and Enginerring Year 2013 Semester 2 Degree Master Type of Document Master's Thesis Language zh-TW.Big5 Chinese Page Count 42 Title Secure Sharing of Electronic Medical Records by Applying Attribute-based Encryption Keyword Medical Records Sharing Electronic Medical Records Attribute-based Encryption Cloud Cloud Attribute-based Encryption Electronic Medical Records Medical Records Sharing Abstract Electronic medical record for the hospitals in densely populated cities is a new type of structure. In the past, the paper medical records would be increased when each patient visited doctors every time, and this would be caused storage space problems that the hospital stored a great quantity of the records. With the advancement of information technology and the gradual rise of cloud computing, it provides cloud storage service. Therefore, the hospitals can store their huge electronic medical records in the cloud platform in order to improve the problem of physical storage space. But it also brings a privacy issue for electronic medical records. Hence, the thesis proposes an encryption process mechanism of electronic medical records that it can access and share the medical records without leaking the privacy of patients.
The proposed scheme adopts a combination of symmetric key encryption method and a new type of attribute-based encryption method to protect the privacy of patients. The encryption process is handled by a trusted third party to reduce the risk that the users have to keep the keys. In addition, the thesis also elaborates the emergency medical service in the health care system and thus proposes a mechanism that can quickly share electronic medical records to
health care workers in order to prevent medical disputes caused by wrong diagnoses. The structure of the proposed scheme has high scalability which means no matter the number of users increasing, the performance of the scheme won’t be reduced. Moreover, the proposed scheme can assure complete privacy protection for electronic medical records storing in the cloud and achieve efficient key management. Consequently, the illegal users cannot obtain the electronic medical records easily.
Advisor Committee Kuo-Hsuan Huang - advisor
Files Date of Defense 2014-07-15 Date of Submission 2014-08-04