| Title | Security and Privacy Solutions associated with NoSQL Data Stores |
| Publication Type | Conference Paper |
| Year of Publication | 2020 |
| Authors | Vonitsanos, Gerasimos, Dritsas, Elias, Kanavos, Andreas, Mylonas, Phivos, Sioutas, Spyros |
| Conference Name | 2020 15th International Workshop on Semantic and Social Media Adaptation and Personalization (SMA) |
| Date Published | Oct. 2020 |
| Publisher | IEEE |
| ISBN Number | 978-1-7281-5919-5 |
| Keywords | Access Control, Authorization, Big Data, composability, data privacy, Distributed databases, Human Behavior, Metrics, NoSQL databases, NoSQL Security, policy update, pubcrawl, relational database security, resilience, Resiliency, secure databases, Semantics, social networking (online) |
| Abstract | 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, a growing number of companies have adopted various types of non-relational databases, commonly referred to as NoSQL databases. These databases provide a robust mechanism for the storage and retrieval of large amounts of data without using a predefined schema. NoSQL platforms are superior to RDBMS, especially in cases when we are dealing with big data and parallel processing, and in particular, when there is no need to use relational modeling. 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. |
| URL | https://ieeexplore.ieee.org/document/9248442 |
| DOI | 10.1109/SMAP49528.2020.9248442 |
| Citation Key | vonitsanos_security_2020 |
Security and Privacy Solutions associated with NoSQL Data Stores