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Data masking techniques for NoSQL database security: A systematic review

Conference Paper
Publication Date:
2017
abstract:
This paper first presents an in-depth study of potential security vulnerabilities in MongoDB and Cassandra, two popular NoSQL databases. We provide examples of attacks. We then explore some popular data masking techniques as ways of mitigating security threats in these databases.
Iris type:
04.01 Contributo in Atti di convegno
Keywords:
big data; privacy of big data; NoSQL databases
List of contributors:
Cuzzocrea, Alfredo
Handle:
https://iris.cnr.it/handle/20.500.14243/347299
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