DropStore: Revolutionizing Data Backup with Multi Cloud and Fog Computing for Ultimate Privacy
Data backup plays a crucial role in recovery from disasters. Current cloud provide a secure environment, but they do not ensure data privacy when all data is concentrated in a single cloud. An alternative is the adoption of Multi-Cloud technologies. While distributing data across multiple clouds can enhance privacy, it requires the edge device to handle different accounts and facilitate communication with various clouds. These challenges have resulted in limited use of this technology. In this paper, we introduce DropStore, an user-friendly, highly secure, and dependable backup system that utilizes advanced Multi-Cloud and encryption methods. DropStore incorporates an abstraction layer for users, simplifying the system complexities by using a local device called “the Droplet,” which is entirely managed by the user. This design eliminates the need to trust any unreliable third parties. This functionality is made possible through Fog Computing technology. What sets DropStore apart is the integration of Multi-Cloud and Fog Computing principles. The implementation of the system is open source and accessible online. Performance evaluations indicate that the proposed system enhances data protection in terms of reliability, security, and privacy, while offering a straightforward interface with edge devices.
Institutions
- Yogi Vemana University (IN)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-04-14
- DOI
- https://doi.org/10.5281/zenodo.15210998
- Primary Topic
- IoT and Edge/Fog Computing
- Type
- article
- Field-Weighted Citation Impact
- 0.00