Privacy-preserving Search over Encrypted Personal Health Record in Multi-Source Cloud

ABSTRACT

Cloud-based Personal Health Record systems (CB-PHR) have great potential in facilitating the management of individual health records. Security and privacy concerns are among the main obstacles for the wide adoption of CB- PHR systems. In this paper, we consider a multi-source CB-PHR system in which multiple data providers such as hospitals and physicians are authorized by individual data owners to upload their personal health data to an untrusted public cloud. The health data are submitted in an encrypted form to ensure data security, and each data provider also submits encrypted data indexes to enable queries over the encrypted data. We propose a novel Multi-Source Order-Preserving Symmetric Encryption (MOPSE) scheme whereby the cloud can merge the encrypted data indexes from multiple data providers without knowing the index content. MOPSE enables efficient and privacy-preserving query processing in that a data user can submit a single data query the cloud can process over the encrypted data from all related data providers without knowing the query content. We also propose an enhanced scheme, MOPSE+, to more efficiently support the data queries by hierarchical data providers. Extensive analysis and experiments over real datasets demonstrate the efficacy and efficiency of MOPSE and MOPSE+.

Conclusion Any Query Call Us: 9566355386

 

In this paper, we explore the problem of privacy-preserving query for multi-source in the cloud-based PHR environment. Different from prior works, our proposed MEIM mechanism enables authenticated data owner to achieve secure, convenient, and efficient query over multiple data providers’ data. To implement the efficient query, we introduce MDBT as the data structure. To reduce the overhead of query generation of data owner, and allow the cloud server to securely query, we propose a novel multiple order-preserving symmetric encryption (MOPSE) scheme. To make our model more practical, we propose an enhanced multiple order-preserving symmetric encryption (MOPSE+) scheme to satisfy the hierarchical authenticated query.

SYSTEM REQUIREMENTS:

HARDWARE REQUIREMENTS:

• System : Pentium IV 2.4 GHz.

• Hard Disk : 40 GB.

• Floppy Drive : 1.44 Mb.

• Monitor : 15 VGA Colour.

• Mouse : Logitech.

• Ram : 512 Mb.

 

SOFTWARE REQUIREMENTS:

• Operating system : - Windows XP/7.

• Coding Language : JAVA/J2EE

Any Query Call Us: 9566355386

 

 

• Data Base : MYSQL

 

REFERENCES

[1] C. Wang, B. Zhang, K. Ren, J. Roveda, C. Chen, Z. Xu, “A privacy-aware cloud-assisted healthcare monitoring system via compressive sensing,” in INFOCOM’14, Toronto, Canada, 2014.

[2] J. Sun, X. Zhu, C. Zhang, Y. Fang, “HCPP: Cryptography based secure ehr system for patient privacy and emergency healthcare,” in ICDCS’11, Minneapolis, Minnesota, 2011.

[3] M. Li, S. Yu, N. Cao, W. Lou, “Authorizd private keyword search over encrypted data in cloud computing,” in ICDCS’11, Minneapolis, Minnesota, 2011.