RETRACTED ARTICLE: Securing medical data by role-based user policy with partially homomorphic encryption in AWS cloud

Abstract

Cloud technology provides services for storing and accessing a large amount of data with ease of access and less cost. Sensitive data like patients' electronic health information should be encrypted before outsourcing into the cloud. Many traditional encryption methods are used for protecting data in the cloud, but unable to perform computation on encrypted data. Homomorphic encryption operates directly on the ciphertext. In this study, a Secure Partially Homomorphic Encryption (SPHE) algorithm is proposed to secure the outsourced data and perform multiplication and division operations on the ciphertext. The access control policy in the cloud environment is more exible. An attacker can easily collect sensitive data by abusing the access policy of another user. So the database privacy is compromised. Creating a role hierarchy and managing the session is di cult in the cloud environment. The above issues motivate us to develop a model which is the integration of the proposed scheme SPHE with role-based user policy.The model is implemented in Eclipse IDE and AWS Toolkit for Eclipse and deployed in Amazon Elastic Beanstalk (EB) environment. This model is particularly used for securing the patient e-health details and performing computation on outsourced data. The patient details are encrypted by the algorithm SPHE and uploaded in AWS (Amazon Web Service) S3 bucket. The users are created by AWS Identity and Access Management (IAM) service and the access level policy is de ned based on user roles in EB environment. The proposed model performance is studied by comparing with other partially homomorphic methods Elgamal, Pailler, and Benaloh. This model achieves data integrity and data con dentiality using the role-based user policy with SPHE.

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“…Orderpreserving encryption (OPE) schemes [1,2] and searchable encryption schemes [3][4][5] are developed to perform, respectively, range queries and keyword search queries at the server side efficiently. Partially homomorphic encryption schemes [6,7] are designed to support a limited number of operations on the ciphertexts. On the other hand, fully homomorphic encryption schemes [8,9] are computationally inefficient and thus impractical [10].…”

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“…A secured partially homomorphic encryption algorithm (SPHE) was proposed by Boomija and Raja 30 to protect the outsourced data. To promote more flexibility and better access control policy, SPHE was integrated with the role‐founded user policy.…”

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