Healthcare data integrity using hash function / Wan Madihah Wan Harrum

Wan Harrum, Wan Madihah (2016) Healthcare data integrity using hash function / Wan Madihah Wan Harrum. Masters thesis, Universiti Teknologi MARA (UiTM).
Abstract

Healthcare fields are currently evolving around the digital world, and it is a must for security analyst to ensure it is safe and secure to store data in digital form or even to be uploading into clouds. Digital world today offer ways to ensure data security and integrity called encryption. Encryption converts data into forms that cannot be read by normal people. In order to preserve data security, there is a type of encryption form being introduced, Hash function. Hash function however, has an open flaw for data integrity. This research aim to analyse real health data integrity using new version of hash function and its performance against collision resistance. This will benefit others by listing the pros and cons of applying hash function in medical field. Real healthcare data are being hash with three different version of hash function, MD5, SHA-1, SHA-2. Message digest outputs are tested for collision resistance to ensure data integrity. The result from this findings will leads to better solution and allow better enhancement for hash function problem.

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