Privacy Preserving Index for Encrypted Electronic Medical Records
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ORIGINAL PAPER
Privacy Preserving Index for Encrypted Electronic Medical Records Yu-Chi Chen · Gwoboa Horng · Yi-Jheng Lin · Kuo-Chang Chen
Received: 18 July 2013 / Accepted: 9 October 2013 / Published online: 26 October 2013 © Springer Science+Business Media New York 2013
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 (Pindex), 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. Keywords Privacy preserving index · Electronic medical record · Keyword search · Privacy · Security
Introduction The security and privacy of electronic medical records (EMRs) have been drawn attention, because now medical systems usually adopt cloud services. Users can acquire services or aids from clouds. However, privacy protection of
Y.-C. Chen () · G. Horng · Y.-J. Lin · K.-C. Chen Department of Computer Science and Engineering, National Chung Hsing University, Taichung, Taiwan e-mail: [email protected]
personal sensitive information is a major security issue during communications, and EMRs as well. The private data in the open network server should be accessed by the owner at anytime. Furthermore, we would like that attackers cannot obtain any useful information from private data. There are many ways to protect privacy of data, for instance, depending on encryption algorithm. A user stores encrypted data in the open server, and retrieves all the encrypted data through network when he needs. Whenever the user needs a segment of those data, he retrieves all the encrypted data, and then picks needed ones. This method is secure against the hostile server or attackers, but it is quite inefficient. The large amount of data transmission is not afforded, since the user might owns weak devices in cloud computing. A new method to get rid off unnecessary data transformation is essential. Keyword search over encrypted data is presented to overcome this problem, which is also referred to as Keyword-Searchable Encryption. Nowadays, the file storage system is a common application as well as a cloud storage; for example, iCloud and Dropbox. For different purposes, multiform secure cloud services have been proposed [1–4]. However, for keywo
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