# Advancing Data Privacy in Cloud Storage: A Novel Multi-Layer Encoding Framework
## 6 Conclusions  
CC has garnered significant attention as an area of interest for data processing and management in the online environment. Privacy techniques have been developed to safeguard users' privacy and data privacy by offering a range of privacy-preserving attributes. To develop an effective framework, it was necessary to establish a widespread set of privacy-linked attributes tailored specifically for cloud data storage. These attributes needed to be adaptable to diverse cyber threats, making them a valuable component of any privacy-preserving framework. In this study, a thorough examination of sixteen attributes was conducted, categorizing them into five distinct categories, namely design management, threat management, key management, performance management, and test management. These categories encompassed a range of relevant attributes, ensuring a holistic approach to privacy preservation. Building upon these privacy-preserving attributes, the proposed study proposes a novel multi-layer-based encoding framework that incorporates a multi-cloud-based storage arrangement and the OTP (one-time password) authorization mechanism. By integrating these elements, the framework aims to guarantee robust data privacy within cloud storage. The multi-layer encryption approach adds an extra layer of protection, while the multi-cloud-based storage arrangement enhances data availability and redundancy. Additionally, the OTP authorization approach provides an additional layer of security during user authentication and access control. Collectively, these components work in tandem to address the critical aspects of data privacy in cloud storage. This framework aligns with the design guidelines and incorporates the main phases to establish a trustworthy and suitable cloud privacy solution capable of addressing data storage threats. The proposed approach involves moderate computational costs. Therefore, in systems with medium or high processing power, such as mobile platforms or IoT devices, the homomorphic-encryption intensive resource requirements--such as CPU usage, memory, and response time--can improve its effectiveness. Hence, its real-world deployment in such environments is often more practical. This research work's findings can guide upcoming investigations, leading to a private and efficient CC environment. Moreover, these findings will aid in evaluating and enhancing existing privacy approaches, as well as in developing novel approaches to address the evolving landscape of cloud storage and associated privacy threats. The following may be a few of the limitations of this study:  
1. During the handling of large datasets or numerous users, the described system may bring computational delays due to multi-level cloud arrangement and multi-layer encryption. 2. The advanced multi-layer architecture of cloud-storage security requires significant expertise, and hence, it may have limited accessibility for smaller organizations. 3. Interruption in service may affect the data availability in a multi-layer and multi-cloud environment. 4. End users may face the problem of inconvenience due to the frequent requirements of authentication and encryption processes. Further expansion of this study could include identifying additional privacy-preserving attributes to enhance the effectiveness of the proposed approach. Furthermore, the specific algorithm for each attribute for the proposed framework may be taken as future research work. **Author Contributions:** Conceptualization, K.N.M., A.M., P.N.B. and R.K.L. ; Methodology, K.N.M., A.M., P.N.B. and R.K.L. ; Software, K.N.M. and P.N.B. ; Validation, K.N.M. and A.M.; Formal analysis, K.N.M., A.M., P.N.B. and R.K.L. ; Investigation, K.N.M., A.M., P.N.B. and R.K.L. ; Data curation, R.K.L. ; Writing--original draft, K.N.M., A.M. and P.N.B. ; Writing--review and editing, K.N.M., A.M., P.N.B. and R.K.L. ; Visualization, K.N.M., P.N.B. and R.K.L. ; Supervision, K.N.M. All authors have read and agreed to the published version of the manuscript.