Electronic Health Record Security in Cloud: Medical Data Protection Using Homomorphic Encryption Schemes

Electronic Health Record Security in Cloud: Medical Data Protection Using Homomorphic Encryption Schemes

Desam Vamsi (VIT-AP, India) and Pradeep Reddy (VIT-AP, India)
Copyright: © 2020 |Pages: 26
DOI: 10.4018/978-1-7998-0261-7.ch002

Abstract

Security is the primary issue nowadays because cybercrimes are increasing. The organizations can store and maintain their data on their own, but it is not cost effective, so for convenience they are choosing cloud. Due to its popularity, the healthcare organizations are storing their sensitive data to cloud-based storage systems, that is, electronic health records (EHR). One of the most feasible methods for maintaining privacy is homomorphism encryption (HE). HE can combine different services without losing security or displaying sensitive data. HE is nothing but computations performed on encrypted data. According to the type of operations and limited number of operations performed on encrypted data, it is categorized into three types: partially homomorphic encryption (PHE), somewhat homomorphic encryption (SWHE), fully homomorphic encryption (FHE). HE method is very suitable for the EHR, which requires data privacy and security.
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Approaches Of Data Aggregation In Sensor Networks

The data aggregation is described as the method by which data from various sensors are aggregated to remove redundancy and provide the base station with complete information. Data aggregation usually includes the fusion of data at medium nodes from multiple sensors and the transfer of such aggregated data to the base station (sink). In this section, the data aggregation in Sensor Networks and the methodologies used are discussed. The data aggregation is performed in four ways, namely centralized, tree-based approach, cluster-based approach, and in-network aggregation.

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