A New Method for Improving the Security and Access Time to Data Blocks in Big Databases

M. Nasseri, M. Jameii, Mohsen Mohseni
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引用次数: 1

Abstract

Big Data is a set of data with large volume, a various and complex structure and their size is beyond of limit which can be grasped, managed and processed with usual softwares in a reasonable time. Data volume in the world is increasing day to day. Traditional database systems are not able to save and analyze so much data volume. Because the internet is growing, Big Data volume is growing too. Organizations have become very flexible and open. New data types will make new challenges. One of the key challenges in Big Data is security. According to the increasing volume and variety of Big Data, security challenges will grow too. From the other side, software infrastructures like Hadoop make it possible for extenders to process in thousands of nodes parallel. In this paper, a review will be done on Big Data and security challenges and a method will be offered for improving the efficiency of security and access time to data blocks in Big Data.
一种提高大数据库数据块安全性和访问时间的新方法
大数据是一组体量大、结构多样、复杂、规模不可限量的数据,一般的软件可以在合理的时间内掌握、管理和处理这些数据。世界上的数据量日益增加。传统的数据库系统无法保存和分析如此庞大的数据量。由于互联网的发展,大数据量也在增长。组织已经变得非常灵活和开放。新的数据类型将带来新的挑战。大数据面临的主要挑战之一是安全性。随着大数据数量和种类的不断增加,安全挑战也将随之增长。另一方面,像Hadoop这样的软件基础设施使得扩展程序可以并行处理数千个节点。本文将对大数据和安全挑战进行回顾,并提供一种方法来提高大数据中数据块的安全效率和访问时间。
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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