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CryptMDB: A practical encrypted MongoDB over big data | IEEE Conference Publication | IEEE Xplore

CryptMDB: A practical encrypted MongoDB over big data


Abstract:

In big data era, data are usually stored in databases for easy access and utilization, which are now woven into every aspect of our lives. However, traditional relational...Show More

Abstract:

In big data era, data are usually stored in databases for easy access and utilization, which are now woven into every aspect of our lives. However, traditional relational databases cannot address users' demands for quick data access and calculating, since they cannot process data in a distributed way. To tackle this problem, non-relational databases such as MongoDB have emerged up and been applied in various Scenarios. Nevertheless, it should be noted that most MongoDB products fail to consider user's data privacy. In this paper, we propose a practical encrypted MongoDB (i.e., CryptMDB). Specifically, we utilize an additive homomorphic asymmetric cryptosystem to encrypt user's data and achieve strong privacy protection. Security analysis indicates that the CryptMDB can achieve confidentiality of user's data and prevent adversaries from illegally gaining access to the database. Furthermore, extensive experiments demonstrate that the CryptMDB achieves better efficiency than existing relational database in terms of data access and calculating.
Date of Conference: 21-25 May 2017
Date Added to IEEE Xplore: 31 July 2017
ISBN Information:
Electronic ISSN: 1938-1883
Conference Location: Paris, France

I. Introduction

With the rapid development of network and information technology, data are woven into every corner of our lives, such as websites, social networks, public platforms, etc. Along with the convenience and immediacy of data acquisition, big data technologies, and many other new data analysis tools [1],[2] have been prevailed and applied in various fields of people's lives, which have generated enormous social impact and economic benefits [3],[4].

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References

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