Secure Access to Personal Health Record Data Using Hadoop Framework
Abstract: Hadoop is a free software framework utilized for appropriated storage and circulated handling of the exceptionally tremendous measure of information. HDFS is a Hadoop Distributed File System which gives various key components like adaptable, capable and dependable. It gives the information duplication highlight to keep away from the single purpose of disappointment. The MapReduce system is utilized to handle the information and this information will be partition into blocks these blocks will be prepared parallel and each block will be repeated inside the cluster to maintain a strategic distance from the disappointment. The MD5 encryption is used to store the data in encrypted format. These methods are used to upload/download the PHR data.
Keywords: Big Data, Hadoop, Hadoop Distributed File System (HDFS), MD5(Message Digest), MapReduce.
INTRODUCTION
Personal health record (PHR) is a concept that emerges recently. With the PHR concept, an individual can store any of his/her health related information of his/her entire life. The PHR data contains variety of health related information such as patient data, family history, and some laboratory test results[1]. Thus, the PHR data requires a big storage for storing the massive PHR data and the data in the storage must be correct and accessible. In other words, PHR is another application that requires a big data management. Since the PHR belongs to the PHR owner, the access control on the PHR must ensure the protection of data. Moreover, the PHR may contain some sensitive data. Thus, a security mechanism to prevent any data leakage must be implemented on the PHR data. A. Related Work Due to the high cost of building and maintaining specialized data centers , many PHR services are outsourced. The main concern is about whether the patients could really control the sharing of their personal health related data, particularly when they are put away on an outsider server which individuals may not completely trust. The PHR data is stored on a cloud storage. Today healthcare technology can improve quality of lives. Daily life activity information can be a source for predicting a disease or preventing one.
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