Exploring NoSQL Databases and Cloud Computing Security Implementations

Author

Shahida B

Abstract

It is commonly known that cloud computing, with its prospective benefits, has completely changed the enterprise IT sector. Due to the advantages of worry-free hardware maintenance, many businesses and sectors are transitioning to the cloud computing era. Large businesses are still not migrating to the cloud, which is reducing the market share of cloud computing. From the standpoint of the consumer, the biggest obstacles to using the cloud for data storage are security and privacy concerns. This paper outlines the numerous restrictions relating to data security and privacy protection issues and provides a few technologies, such as Trend Micro's SecureCloudTM, which enables users to function in the cloud safely and securely. Additionally, employing NoSQL databases, personal data security on the cloud. SecureCloud, FIPS 140-2, NoSQL databases, NSA, IAM rules, Accumulo Apache, Amazon DynamoDB, MarkLogic are some of the terms in the index.As a result, cloud users can benefit from the services provided by the cloud while still having total control over their data thanks to encryption keys. The SecureCloudTM uses VM-level encryption to encrypt data in working storage, enabling the use of distinct encryption keys for each user's particular data. This lessens the possibility of recycled disk blocks being sent to other users or of a configuration error causing data privacy violations. The third is commonplace encryption. Data is encrypted using Industry Standard AES by SecureCloudTM, making it inaccessible to anybody missing the encryption keys. The ability of SecureCloudTM to encrypt data gives users advantages when switching users or terminating storage.

Keywords

NoSQL database, Cloud Computing Security, Accumulo Apache, Amazon DynamoDB, MarkLogic, Big Data, Big Data Analytics

DOI : https://doi.org/10.55248/gengpi.2022.3.9.25

Full Text:

Download Paper PDF

References

  [1] Abramova, V., & Bernardino, J. (2013, July). NoSQL databases: MongoDB vs Cassandra. In Proceedings of the international C* conference on computer science and software engineering (pp. 14-22).

[2] Ali, W., Shafique, M. U., Majeed, M. A., & Raza, A. (2019). Comparison between SQL and NoSQL Databases and Their Relationship with Big Data Analytics. Asian Journal of Research in Computer Science, 4(2), 1-10

[3] Becker, M. Y., & Sewell, P. (2004, June). Cassandra: Flexible trust management, applied to electronic health records. In Proceedings. 17th IEEE Computer Security Foundations Workshop, 2004. (pp. 139-154). IEEE.

[4] Berg, K. L., Seymour, T., & Goel, R. (2013). History of databases. International Journal of Management & Information Systems (IJMIS), 17(1), 29-36.

[5] Bjeladinovic, S., Marjanovic, Z., & Babarogic, S. (2020). A proposal of architecture for integration and uniform use of hybrid SQL/NoSQL database components. Journal of Systems and Software, 168, 110633.

[6] Chandra, D. G. (2015). BASE analysis of NoSQL database. Future Generation Computer Systems, 52, 13-21.

[7] Chen, J. K., & Lee, W. Z. (2019). An introduction of NoSQL databases based on their categories and application industries. Algorithms, 12(5), 106.

[8] Cuzzocrea, A., & Shahriar, H. (2017, December). Data masking techniques for NoSQL database security: A systematic review. In 2017 IEEE International Conference on Big Data (Big Data) (pp. 4467-4473). IEEE.

[9] de Oliveira, V. F., Pessoa, M. A. D. O., Junqueira, F., & Miyagi, P. E. (2021). SQL and NoSQL Databases in the Context of Industry 4.0. Machines, 10(1), 20.

[10] Deka, G. C. (2013). A survey of cloud database systems. It Professional, 16(2), 50-57. IEEE.

[11] Di Martino, S., Fiadone, L., Peron, A., Riccabone, A., & Vitale, V. N. (2019, June). Industrial Internet of Things: Persistence for Time Series with NoSQL Databases. In 2019 IEEE 28th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE) (pp. 340-345). IEEE.

[12] dos Santos Ferreira, G., Calil, A., & dos Santos Mello, R. (2013, December). On providing DDL support for a relational layer over a document NoSQL database. In Proceedings of International Conference on Information Integration and Web-based Applications & Services (pp. 125-132).

[13] Gessert, F., Wingerath, W., Friedrich, S., & Ritter, N. (2017). NoSQL database systems: a survey and decision guidance. Computer Science-Research and Development, 32(3), 353-365.

[14] Guimaraes, V., Hondo, F., Almeida, R., Vera, H., Holanda, M., Araujo, A., ... & Lifschitz, S. (2015, November). A study of genomic data provenance in NoSQL document-oriented database systems. In 2015 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (pp. 1525-1531). IEEE.

[15] Rodriguez, K. M., Reddy, R. S., Barreiros, A. Q., & Zehtab, M. (2012, June). Optimizing Program Operations: Creating a Web-Based Application to Assign and Monitor Patient Outcomes, Educator Productivity and Service Reimbursement. In DIABETES (Vol. 61, pp. A631-A631). 1701 N BEAUREGARD ST, ALEXANDRIA, VA 22311-1717 USA: AMER DIABETES ASSOC.

[16] Kwon, D., Reddy, R., & Reis, I. M. (2021). ABCMETAapp: R shiny application for simulation-based estimation of mean and standard deviation for meta-analysis via approximate Bayesian computation. Research synthesis methods, 12(6), 842–848. https://doi.org/10.1002/jrsm.1505

[17] Reddy, H. B. S., Reddy, R. R. S., Jonnalagadda, R., Singh, P., & Gogineni, A. (2022). Usability Evaluation of an Unpopular Restaurant Recommender Web Application Zomato. Asian Journal of Research in Computer Science, 13(4), 12-33.

[18] Reddy, H. B. S., Reddy, R. R. S., Jonnalagadda, R., Singh, P., & Gogineni, A. (2022). Analysis of the Unexplored Security Issues Common to All Types of NoSQL Databases. Asian Journal of Research in Computer Science, 14(1), 1-12.

[19]  Singh, P., Williams, K., Jonnalagadda, R., Gogineni, A., &; Reddy, R. R. (2022). International students: What’s missing and what matters. Open Journal of Social Sciences, 10(02),

[20] Jonnalagadda, R., Singh, P., Gogineni, A., Reddy, R. R., & Reddy, H. B. (2022). Developing, implementing and evaluating training for online graduate teaching assistants based on Addie Model. Asian Journal of Education and Social Studies, 1-10.

[21] Sarmiento, J. M., Gogineni, A., Bernstein, J. N., Lee, C., Lineen, E. B., Pust, G. D., & Byers, P. M. (2020).Alcohol/illicit substance use in fatal motorcycle crashes. Journal of surgical research, 256, 243-250.

[22] Brown, M. E., Rizzuto, T., & Singh, P. (2019). Strategic compatibility, collaboration and collective impact for community change. Leadership & Organization Development Journal.

[23] Sprague-Jones, J., Singh, P., Rousseau, M., Counts, J., & Firman, C. (2020). The Protective Factors Survey: Establishing validity and reliability of a self-report measure of protective factors against child maltreatment. Children and Youth Services Review, 111, 104868

Share your valuable work from Social Media Buttons