Data masking techniques for NoSQL database security: A systematic review
Contributo in Atti di convegno
Data di Pubblicazione:
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.
Tipologia CRIS:
04.01 Contributo in Atti di convegno
Keywords:
big data; privacy of big data; NoSQL databases
Elenco autori:
Cuzzocrea, Alfredo
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