Compliance Frameworks for Multi-Tenant Cloud Architectures

Authors

  • Laxmana Kumar Bhavandla   Independent Researcher, USA

Keywords:

Multi-Tenant Cloud Architecture, Resource Optimization, Cost-Effective Solutions, Data Isolation, Access Control, Regulatory Compliance, Security Vulnerabilities, Compliance Framework, Role-Based Access Control (RBAC).

Abstract

Optimizing the use of resources is made possible by multi-tenant cloud architecture for scalable, cost-effective solutions in any industry. It has however led to massive difficulties including isolation of data, control of access, regulation, and security vulnerabilities. The present report delves into the compliance framework specifically for the multi-tenant cloud systems that synthesize advanced mechanisms from the role-based access control mechanisms, cross-tenant authorization models, and architecturally significant requirements. This proposed framework would leverage ontological models and semantic web technologies to make sure that HIPAA standards were being met. Vulnerabilities within shared environments would be dealt with. Fine-grained trust relationships, policy enforcement mechanisms, and adaptive strategies to manage tenant-specific requirements are key components. The framework is illustrated using case studies on healthcare systems and collaborative cloud services to show scalability and efficacy. This report provides an all-inclusive approach in the design of robust, compliant multi-tenant cloud systems by integrating ASRs such as privacy, security, and scalability to accommodate evolving organizational and regulatory needs.

References

  1. Anwar, M. and Imran, A., 2015, November. Access control for multi-tenancy in cloud-based health information systems. In 2015 IEEE 2nd International Conference on Cyber Security and Cloud Computing (pp. 104-110). IEEE.
  2. Baldin, I., Ruth, P., Wang, C. and Chase, J.S., 2018, October. The future of multi-clouds: A survey of essential architectural elements. In 2018 international scientific and technical conference modern computer network technologies (MoNeTeC) (pp. 1-13). IEEE.
  3. Chauhan, M.A. and Probst, C.W., 2017. Architecturally significant requirements identification, classification and change management for multi-tenant cloud-based systems. Requirements Engineering for Service and Cloud Computing, pp.181-205.
  4. Demchenko, Y., Turkmen, F., Slawik, M. and De Laat, C., 2017, May. Defining intercloud security framework and architecture components for multi-cloud data intensive applications. In 2017 17th IEEE/ACM international symposium on cluster, cloud and grid computing (CCGRID) (pp. 945-952). IEEE.
  5. Hossain, A. and Shirazi, F., 2015. Cloud Computing: A Multi-tenant Case Study. In Human-Computer Interaction: Users and Contexts: 17th International Conference, HCI International 2015, Los Angeles, CA, USA, August 2-7, 2015, Proceedings, Part III 17 (pp. 178-189). Springer International Publishing.
  6. Ioannidis, G., 2018. Adding flexibility to multi-tenant networks (No. 8243). EPFL.
  7. Madi, T., 2018. Security Auditing and Multi-Tenancy Threat Evaluation in Public Cloud Infrastructures (Doctoral dissertation, Concordia University).
  8. Madi, T., Majumdar, S., Wang, Y., Jarraya, Y., Pourzandi, M. and Wang, L., 2016, March. Auditing security compliance of the virtualized infrastructure in the cloud: Application to OpenStack. In Proceedings of the Sixth ACM Conference on Data and Application Security and Privacy (pp. 195-206).
  9. Maenhaut, P.J., Moens, H., Ongenae, V. and De Turck, F., 2015, May. Design and evaluation of a hierarchical multi-tenant data management framework for cloud applications. In 2015 IFIP/IEEE International Symposium on Integrated Network Management (IM) (pp. 1208-1213). IEEE.
  10. Matthew, O.O., 2016. Establishing a standard scientific guideline for the evaluation and adoption of multi-tenant database.
  11. Ngo, C., Demchenko, Y. and de Laat, C., 2016. Multi-tenant attribute-based access control for cloud infrastructure services. Journal of information security and applications, 27, pp.65-84.
  12. Tang, B., Sandhu, R. and Li, Q., 2015. Multi‐tenancy authorization models for collaborative cloud services. Concurrency and Computation: Practice and Experience, 27(11), pp.2851-2868.

Downloads

Published

2020-03-01

Issue

Section

Research Articles

How to Cite

[1]
Laxmana Kumar Bhavandla , " Compliance Frameworks for Multi-Tenant Cloud Architectures " International Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 6, Issue 2, pp.591-598, March-April-2020.