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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.

Data masking techniques for NoSQL database security: A systematic review

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.
2017
Istituto di Calcolo e Reti ad Alte Prestazioni - ICAR
Inglese
2017 IEEE International Conference on Big Data, BigData 2017
IEEE
New York
STATI UNITI D'AMERICA
Sì, ma tipo non specificato
December 11-14, 2017
Boston, MA, USA
big data
privacy of big data
NoSQL databases
1
none
Alfredo Cuzzocrea ; Hossain Shahriar
273
info:eu-repo/semantics/conferenceObject
04 Contributo in convegno::04.01 Contributo in Atti di convegno
04.01 Contributo in Atti di convegno
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/347299
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