| G. Vonitsanos, E. Dritsas, A. Kanavos, Ph. Mylonas, S. Sioutas |
| Security and Privacy Solutions associated with NoSQL Data Stores |
| 15th International Workshop on Semantic and Social Media Adaptation & Personalization (SMAP 2020), October 29-30, 2020, Virtual Workshop |
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ABSTRACT
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| Technologies such as cloud computing and big data management, have lately made significant progress creating an urgent need for specific databases that can safely store extensive data along with high availability. Specifically, an ever-growing amount of companies have put to use a multitude of non-relational databases, typically known as NoSQL databases. Not utilizing predefined guidelines, these databases largely offer a well structured mechanism for the retrieval and storage of numerous data. This fact renders them superior to RDBMS platforms. When on the other hand, big data and parallel processing is encountered in particular, and therefore the use of relational modeling is rendered obsolete, NoSQL databases largely exceed in superiority. Sensitive data is stored daily in NoSQL Databases, making the privacy problem more serious while raising essential security issues. In our paper, security and privacy issues when dealing with NoSQL databases are introduced, and in following, security mechanisms and privacy solutions are thoroughly examined.
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| 29 October , 2020 |
| G. Vonitsanos, E. Dritsas, A. Kanavos, Ph. Mylonas, S. Sioutas, "Security and Privacy Solutions associated with NoSQL Data Stores", 15th International Workshop on Semantic and Social Media Adaptation & Personalization (SMAP 2020), October 29-30, 2020, Virtual Workshop |
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