Privacy Preserving Index for Encrypted Electronic Medical Records

  • Authors:

  • Yu-Chi Chen;Gwoboa Horng;Yi-Jheng Lin;Kuo-Chang Chen

  • Affiliations:

  • Department of Computer Science and Engineering, National Chung Hsing University, Taichung, Taiwan;Department of Computer Science and Engineering, National Chung Hsing University, Taichung, Taiwan;Department of Computer Science and Engineering, National Chung Hsing University, Taichung, Taiwan;Department of Computer Science and Engineering, National Chung Hsing University, Taichung, Taiwan

  • Venue:
  • Journal of Medical Systems
  • Year:
  • 2013

Quantified Score

Hi-index 0.00

Visualization

Abstract

With the development of electronic systems, privacy has become an important security issue in real-life. In medical systems, privacy of patients' electronic medical records (EMRs) must be fully protected. However, to combine the efficiency and privacy, privacy preserving index is introduced to preserve the privacy, where the EMR can be efficiently accessed by this patient or specific doctor. In the literature, Goh first proposed a secure index scheme with keyword search over encrypted data based on a well-known primitive, Bloom filter. In this paper, we propose a new privacy preserving index scheme, called position index (P-index), with keyword search over the encrypted data. The proposed index scheme is semantically secure against the adaptive chosen keyword attack, and it also provides flexible space, lower false positive rate, and search privacy. Moreover, it does not rely on pairing, a complicate computation, and thus can search over encrypted electronic medical records from the cloud server efficiently.