CryptMDB: A practical encrypted MongoDB over big data
- 1 May 2017
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- p. 1-6
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.Keywords
This publication has 17 references indexed in Scilit:
- ActiveTrust: Secure and Trustable Routing in Wireless Sensor NetworksIEEE Transactions on Information Forensics and Security, 2016
- StealthyCRM: A Secure Cloud CRM System Application that Supports Fully Homomorphic Database Encryption2015
- Multi user searchable encryption schemes using Trusted Proxy for cloud based Relational Databases2015
- Engineering searchable encryption of mobile cloud networks: when QoE meets QoPIEEE Wireless Communications, 2015
- Performance evaluation of SQL and MongoDB databases for big e-commerce data2015
- Achieving authorized and ranked multi-keyword search over encrypted cloud data2015
- Security and privacy in cloud-assisted wireless wearable communications: Challenges, solutions, and future directionsIEEE Wireless Communications, 2015
- Enabling Fine-Grained Multi-Keyword Search Supporting Classified Sub-Dictionaries over Encrypted Cloud DataIEEE Transactions on Dependable and Secure Computing, 2015
- Identity-Based Authentication for Cloud Computing2009
- Public-Key Cryptosystems Based on Composite Degree Residuosity Classes1999