An Efficient Storage in the cloud &Secure HER Retrieval by using HECC

P. Kumari, Neetesh Gupta
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引用次数: 1

Abstract

The sector of healthcare generates lot of data related to the health of patients, where large number of people enrols in hospital. It contains a large image and document data that needs to be processed over a different entity. Since the data is in the isolated form, unmanaged manner there is a need for the personal health records system that will ultimately holds up the factors affecting the data and provides a better managing capability. Indexing, secured transmission, Data minimization is always an issue which deals with encryption and decryption algorithms with different key sizes. With existing algorithm, time consumption to store and retrieve stored data is high as it involves MD5 algorithm. This paper gives an overall explanation of the storage of data in cloud where huge data plays a major role. Hence, an proposed algorithm containing compress storage, security along with fast as well as secure access is also presented in this paper. Improvement of Security and storage is done by Hyper-elliptic curve cryptography (HECC) with Asymmetric encryption technique, Hash function using secure Hashing algorithm (SHA-2) followed by Discrete Wavelet Transform (DWT) compression to minimize cloud space.
利用HECC实现高效的云存储和安全的HER检索
医疗保健部门产生了大量与患者健康相关的数据,其中有大量的人在医院登记。它包含需要在不同实体上处理的大型图像和文档数据。由于数据是孤立的,不受管理的,因此需要一个个人健康记录系统,它将最终保留影响数据的因素,并提供更好的管理能力。索引、安全传输、数据最小化一直是处理不同密钥大小的加密和解密算法的一个问题。现有算法由于涉及MD5算法,存储和检索存储数据的时间较长。本文对云存储中的数据进行了全面的阐述,其中海量数据起着重要的作用。因此,本文提出了一种包含压缩存储、安全性以及快速和安全访问的算法。采用非对称加密技术的超椭圆曲线加密(HECC),采用安全哈希算法(SHA-2)的哈希函数,然后采用离散小波变换(DWT)压缩来最小化云空间,从而提高了安全性和存储能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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