Articles Open Access
Hybrid Cloud Security and Compliance Frameworks for Large-Scale Enterprise Computing Systems
SRE/Devops, USA
Abstract
Hybrid cloud computing has become an essential technological approach for large-scale enterprise computing systems due to its ability to combine the flexibility of public cloud services with the control and security of private cloud infrastructures. As organizations increasingly migrate critical workloads and sensitive data to hybrid environments, ensuring security, privacy, and regulatory compliance has become a major challenge. This study explores hybrid cloud security and compliance frameworks designed to protect enterprise computing systems from cyber threats, unauthorized access, data breaches, and operational vulnerabilities. The research examines the architectural components, security mechanisms, governance models, and compliance strategies implemented within hybrid cloud infrastructures. Technologies such as encryption, identity and access management, intrusion detection systems, multi-factor authentication, and security information and event management are analyzed in the context of enterprise cloud security. The study also evaluates compliance frameworks including GDPR, HIPAA, ISO 27001, and PCI-DSS that guide organizations in maintaining regulatory standards. Findings indicate that hybrid cloud frameworks provide improved scalability, operational flexibility, disaster recovery, and cost efficiency while supporting secure enterprise computing operations. However, challenges related to interoperability, policy enforcement, data governance, and complex infrastructure management remain significant concerns. The study concludes that effective hybrid cloud security and compliance frameworks are critical for sustainable and secure enterprise digital transformation.
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Publication Information
| Journal | International Research Journal of Innovative Engineering |
|---|---|
| Volume | 2 |
| Number | 4 |
| Pages | 2121-2180 |
| Published | 2018-07-05 |
| Issue | Vol. 2 No. 4 (2018): International Research Journal of Innovative Engineering (IRJIE) |
References
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42. Chiranjeevi, K. G., Latha, R., & Kumar, S. S. (2016). Enlarge Storing Concept in an Efficient Handoff Allocation during Travel by Time Based Algorithm. Indian Journal of Science and Technology, 9, 40.
43. Amutha, M., & Sugumar, R. (2015). A survey on dynamic data replication system in cloud computing. International Journal of Innovative Research in Science, Engineering and Technology, 4(4), 1454-1467.
44. Sugumar, R. (2014). A technique to stock market prediction using fuzzy clustering and artificial neural networks.
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2. Buyya, R., Yeo, C. S., Venugopal, S., Broberg, J., & Brandic, I. (2010). Cloud computing and emerging IT platforms. Future Generation Computer Systems, 25(6), 599–616.
3. Cloud Security Alliance. (2011). Security guidance for critical areas of focus in cloud computing. CSA Publications.
4. Dai, J., & Grundy, J. (2013). Security and privacy in cloud computing. IEEE Cloud Computing Journal, 1(1), 12–17.
5. Hashizume, K., Rosado, D. G., Fernández-Medina, E., & Fernandez, E. B. (2013). An analysis of security issues for cloud computing. Journal of Internet Services and Applications, 4(1), 1–13.
6. Jansen, W., & Grance, T. (2011). Guidelines on security and privacy in public cloud computing. National Institute of Standards and Technology.
7. Jensen, M., Schwenk, J., Gruschka, N., & Iacono, L. L. (2010). On technical security issues in cloud computing. Proceedings of IEEE International Conference on Cloud Computing, 109–116.
8. Kandukuri, B. R., Paturi, V. R., & Rakshit, A. (2010). Cloud security issues. Proceedings of IEEE International Conference on Services Computing, 517–520.
9. Khan, K. M., & Malluhi, Q. (2010). Establishing trust in cloud computing. IT Professional, 12(5), 20–27.
10. Mell, P., & Grance, T. (2011). The NIST definition of cloud computing. National Institute of Standards and Technology.
11. Modi, C., Patel, D., Borisaniya, B., Patel, H., Patel, A., & Rajarajan, M. (2013). A survey on security issues and solutions in cloud computing. Journal of Network and Computer Applications, 34(4), 1257–1262.
12. Pearson, S. (2013). Privacy, security and trust in cloud computing. Privacy and Security for Cloud Computing, 3–42.
13. Popović, K., & Hocenski, Ž. (2010). Cloud computing security issues and challenges. Proceedings of the 33rd International Convention MIPRO, 344–349.
14. Ristenpart, T., Tromer, E., Shacham, H., & Savage, S. (2011). Hey, you, get off of my cloud. Proceedings of the ACM Conference on Computer and Communications Security, 199–212.
15. Sabahi, F. (2011). Cloud computing security threats and responses. Proceedings of IEEE International Conference on Communication Software and Networks, 245–249.
16. Subashini, S., & Kavitha, V. (2011). A survey on security issues in service delivery models of cloud computing. Journal of Network and Computer Applications, 34(1), 1–11.
17. Takabi, H., Joshi, J. B. D., & Ahn, G. J. (2010). Security and privacy challenges in cloud computing environments. IEEE Security & Privacy, 8(6), 24–31.
18. Tripathi, A., & Parihar, B. (2011). Evolving cloud computing security challenges. International Journal of Computer Applications, 37(2), 34–38.
19. Vaquero, L. M., Rodero-Merino, L., Cáceres, J., & Lindner, M. (2011). A break in the clouds. ACM SIGCOMM Computer Communication Review, 39(1), 50–55.
20. Zhang, Q., Cheng, L., & Boutaba, R. (2010). Cloud computing: State-of-the-art and research challenges. Journal of Internet Services and Applications, 1(1), 7–18.
21. Mathew, A., & Asari, V. K. (2014, March). Rotation-invariant histogram features for threat object detection on pipeline right-of-way. In Video Surveillance and Transportation Imaging Applications 2014 (Vol. 9026, pp. 19-26). SPIE.
22. Sugumar, R., Rengarajan, A., & Jayakumar, C. (2015). Design a Weight Based Sorting Distortion Algorithm for Privacy Preserving Data Mining. Middle-East Journal of Scientific Research, 23(3), 405-412.
23. Karthika, V., Brijet, Z., & Bharathi, N. (2012). Design of optimal controller for fluid catalytic cracking unit. Procedia Engineering, 38, 1150-1160.
24. Amutha, M., & Sugumar, R. (2015). A survey on dynamic data replication system in cloud computing. International Journal of Innovative Research in Science, Engineering and Technology, 4(4), 1454-1467.
25. Sugumar, R. B., & Anandharaj, K. (2016). Assessment of Bacterial Load in the Fresh Water Lake System of Tamil Nadu. Interl J Curr Microbiol App Sci, 5(6), 236-246.
26. Rengarajan, R. S. A. (2016). Secure verification technique for defending IP spoofing attacks.
27. Mathew, A. R., & Al Hajj, A. (2017). Secure communications on IoT and big data. Indian Journal of Science and Technology, 10(11).
28. Alex, A. T., Asari, V. K., & Mathew, A. (2012, October). Gradient feature matching for expression invariant face recognition using single reference image. In 2012 IEEE International Conference on Systems, Man, and Cybernetics (SMC) (pp. 851-856). IEEE.
29. Sasidevi, J., Sugumar, R., & Priya, P. S. (2015). New-Multi-Phase Distribution Network Intrusion Detection. International Journal, 5(3).
30. Mathew, A., & Asari, V. K. (2013, March). Tracking small targets in wide area motion imagery data. In Video Surveillance and Transportation Imaging Applications (Vol. 8663, pp. 69-78). SPIE.
31. Sudhan, S. K. H. H., & Kumar, S. S. (2016). Gallant Use of Cloud by a Novel Framework of Encrypted Biometric Authentication and Multi Level Data Protection. Indian Journal of Science and Technology, 9, 44.
32. Alex, A. T., Asari, V. K., & Mathew, A. (2013, March). Gradient feature matching for in-plane rotation invariant face sketch recognition. In Image Processing: Machine Vision Applications VI (Vol. 8661, pp. 46-58). SPIE.
33. Natarajan, R., & Sugumar, R. (2014). A survey on attacks in web usage mining. International Journal of Innovative Research in Computer and Communication Engineering, 2(5), 4470-5.
34. Satyanarayana, D., Mathew, A. R., & Sathyashree, S. (2016). An Architecture for Wireless Communication Systems using Li-Fi technology. In 8th International Conference on Latest Trends in Engineering and Technology (ICLTET’2016) (pp. 37-41).
35. Mathew, A. R. (2017). Cloud Technology and the Challenges for Forensics Investigators. DEStech Transactions on Computer Science and Engineering.
36. Begum, R. S., & Sugumar, R. (2015). A Conceptual Comparison of Artificial Bee Colony and Particle Swarm Optimization.
37. Soundappan, S. J., & Sugumar, R. (2016). Optimal knowledge extraction technique based on hybridisation of improved artificial bee colony algorithm and cuckoo search algorithm. International Journal of Business Intelligence and Data Mining, 11(4), 338-356.
38. Singh, T. J., & Sugumar, R. (2012, December). An extensibility of THEMIS billing system for the cloud computing environment. In 2012 Fourth International Conference on Advanced Computing (ICoAC) (pp. 1-6). IEEE.
39. Sugumar, R., Rengarajan, A., & Jayakumar, C. (2018). Trust based authentication technique for cluster based vehicular ad hoc networks (VANET). Wireless Networks, 24(2), 373-382.
40. Sudhan, S. K. H. H., & Kumar, S. S. (2015). An innovative proposal for secure cloud authentication using encrypted biometric authentication scheme. Indian Journal of Science and Technology, 8(35), 1-5.
41. Priya, P. S., & Sugumar, R. (2014). Multi Keyword Searching Techniques over Encrypted Cloud Data. In IJSR.
42. Chiranjeevi, K. G., Latha, R., & Kumar, S. S. (2016). Enlarge Storing Concept in an Efficient Handoff Allocation during Travel by Time Based Algorithm. Indian Journal of Science and Technology, 9, 40.
43. Amutha, M., & Sugumar, R. (2015). A survey on dynamic data replication system in cloud computing. International Journal of Innovative Research in Science, Engineering and Technology, 4(4), 1454-1467.
44. Sugumar, R. (2014). A technique to stock market prediction using fuzzy clustering and artificial neural networks.
45. Brijet, Z., Kumar, B. S., & Bharathi, N. (2017). Vehicle anti-theft system using fingerprint recognition technique. Open Academic Journal of Advanced Science and Technology, 1(1), 36-41.
46. Z. Brijet, N. Bharathi, G. Shanmugapriya. (2015). Design of Model Predictive Controller for Fluid Catalytic Cracking Unit. Fluid-IJCTA, 8(5), 1917-1926
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