A Secure Distributed Data Synchronization Framework for Cloud-Backed Mobile and Web Systems
DOI:
https://doi.org/10.15662/IJEETR.2021.0306007Keywords:
Secure Data Synchronization, Conflict-Free Replicated Data Types (CRDTs), End-to-End Encryption, Zero Trust Security, Distributed Consistency, Authenticated Metadata, Cloud-Backed Mobile SystemsAbstract
Modern mobile and web systems rely extensively on distributed cloud infrastructures to synchronize user data across heterogeneous devices, dynamic networks, and globally distributed backend services. As applications scale to millions of users, the demands on synchronization mechanisms expand to include real-time consistency, offline support, low-latency conflict resolution, privacy-preserving replication, and resilience against adversarial threats. Although a rich body of distributed systems literature examines consistency, replication, and conflict-free data types, integrating these techniques into a unified and secure synchronization framework remains challenging. This paper proposes a Secure Distributed Data Synchronization Framework (SDDSF) that unifies consistency models, cryptographic protections, access control policies, and anomaly detection into a cloud-backed synchronization pipeline suitable for large-scale mobile and web ecosystems. The framework combines concepts from Conflict-Free Replicated Data Types (CRDTs), secure multi-version replication, zero trust access enforcement, end-to-end encryption, and verifiable logging. The design incorporates a multi-layer architecture composed of a client synchronization engine, an edge coordination layer, a cloud replication fabric, and a security orchestration controller. Drawing upon pre-2022 research in distributed consistency, mobile cloud security, encrypted synchronization protocols, and secure replication, we evaluate the security and performance trade-offs of SDDSF and outline future research directions in verifiable consistency, adaptive privacy, and secure offline-first systems.
References
1. Alzahrani, A., & Alenezi, M. (2020). Mobile cloud computing: A systematic mapping study. IEEE Access, 8, 186678–186692. https://doi.org/10.1109/ACCESS.2020.3030070
2. Corbett, J. C., et al. (2013). Spanner: Google's globally distributed database. ACM Transactions on Computer Systems, 31(3), 1–22. https://doi.org/10.1145/2491245
3. Curtmola, R., Khan, O., Burns, R., & Ateniese, G. (2011). MR-PDP: Multiple-replica provable data possession. IEEE ICDCS, 411–420. https://doi.org/10.1109/ICDCS.2011.59
4. Kolla, S. (2020). NEO4J GRAPH DATA SCIENCE (GDS) LIBRARY: ADVANCED ANALYTICS ON CONNECTED DATA. International Journal of Advanced Research in Engineering and Technology, 11(8), 1077-1086. https://doi.org/10.34218/IJARET_11_08_106
5. DeCandia, G., et al. (2007). Dynamo: Amazon’s highly available key-value store. SOSP '07, 205–220. https://doi.org/10.1145/1323293.1294281
6. Gilbert, S., & Lynch, N. (2002). Brewer’s conjecture and the feasibility of consistent, available, partition-tolerant systems. SIGACT News, 33(2), 51–59. https://doi.org/10.1145/564585.564601
7. Vangavolu, S. V. (2021). Continuous Integration and Deployment Strategies for MEAN Stack Applications. International Journal on Recent and Innovation Trends in Computing and Communication, 09(10), 53-57. https://ijritcc.org/index.php/ijritcc/article/view/11527
8. Khan, A., Badsha, S., & Watters, P. (2021). Security challenges of mobile cloud computing: A survey. Journal of Network and Computer Applications, 181, 103011. https://doi.org/10.1016/j.jnca.2021.103011
9. Nayak, K., Marino, D., Colin, P., & Zeldovich, N. (2015). Privacy-preserving data synchronization in mobile cloud applications. USENIX Security, 115–130.
10. Rose, S., Borchert, O., Mitchell, S., & Connelly, S. (2020). Zero Trust Architecture (NIST SP 800-207). National Institute of Standards and Technology. https://doi.org/10.6028/NIST.SP.800-207
11. Shapiro, M., Preguiça, N., Baquero, C., & Zawirski, M. (2011). Conflict-Free Replicated Data Types. Stabilization, Safety, and Security of Distributed Systems, 386–400. https://doi.org/10.1007/978-3-642-24550-3_29
