Implementing Ciphertext Policy Encryption in Cloud Platform for Patients’ Health Information Based on the Attributes

The cloud computing platform has to improvise the healthcare authorities along with organization. In health industry has to develop the patients to make, organize and give out their health-related data with different users by the personal health record (PHR) administration and in addition to health insurance companies. The proposed method explains the work on outlining and implementing patient-driven, patient health information in a cloud platform in light of open-source Indivo X framework. The PHR administration level is to be facilitated about outsourcing patients’ PHR information to cloud servers with a specific end goal to upgrade its interoperability. The security saving PHR structure utilizes attribute-based encryption (ABE) and supplies the system with the goal that patients be competent to scramble their PHRs and store them on cloud servers which is half believed to such an extent that servers do not have confirmation to basic PHR data and the patients keep up full power over entree to their PHR records, by doling out access to some approved data users, while individual users can have entry to various parts of their PHR.

[1]  Vipul Goyal Certificate Revocation Using Fine Grained Certificate Space Partitioning , 2007, Financial Cryptography.

[2]  Cong Wang,et al.  Achieving Secure, Scalable, and Fine-grained Data Access Control in Cloud Computing , 2010, 2010 Proceedings IEEE INFOCOM.

[3]  Kenneth D. Mandl,et al.  Indivo: a personally controlled health record for health information exchange and communication , 2007, BMC Medical Informatics Decis. Mak..

[4]  Douglas M. Blough,et al.  A Patient-centric, Attribute-based, Source-verifiable Framework for Health Record Sharing , 2009 .

[5]  Xuan Liu,et al.  Implementing a Personal Health Record Cloud Platform Using Ciphertext-Policy Attribute-Based Encryption , 2012, 2012 Fourth International Conference on Intelligent Networking and Collaborative Systems.

[6]  Ronggang Zhang,et al.  Access Control for the Smart Meters Based on ABE , 2011, 2011 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery.

[7]  Brent Waters,et al.  Fuzzy Identity-Based Encryption , 2005, EUROCRYPT.

[8]  Matthew Green,et al.  Securing electronic medical records using attribute-based encryption on mobile devices , 2011, SPSM '11.

[9]  Benjamin Fabian,et al.  Collaborative and secure sharing of healthcare data in multi-clouds , 2015, Inf. Syst..

[10]  Brent Waters,et al.  Ciphertext-Policy Attribute-Based Encryption: An Expressive, Efficient, and Provably Secure Realization , 2011, Public Key Cryptography.

[11]  Ming Li,et al.  Securing Personal Health Records in Cloud Computing: Patient-Centric and Fine-Grained Data Access Control in Multi-owner Settings , 2010, SecureComm.

[12]  Yao Zheng,et al.  Scalable and Secure Sharing of Personal Health Records in Cloud Computing Using Attribute-Based Encryption , 2019, IEEE Transactions on Parallel and Distributed Systems.

[13]  Yao Zheng,et al.  Privacy-Preserving Personal Health Record System Using Attribute-Based Encryption , 2011 .

[14]  Rafail Ostrovsky,et al.  Attribute-based encryption with non-monotonic access structures , 2007, CCS '07.

[15]  Milan Petkovic,et al.  Secure management of personal health records by applying attribute-based encryption , 2009, Proceedings of the 6th International Workshop on Wearable, Micro, and Nano Technologies for Personalized Health.

[16]  Reihaneh Safavi-Naini,et al.  Privacy preserving EHR system using attribute-based infrastructure , 2010, CCSW '10.

[17]  Mir S. Siadaty,et al.  Bmc Medical Informatics and Decision Making Relemed: Sentence-level Search Engine with Relevance Score for the Medline Database of Biomedical Articles , 2007 .