# Advancing Data Privacy in Cloud Storage: A Novel Multi-Layer Encoding Framework
## 4 The Anticipated Cloud Storage Structure
### Contributions and Improvements in Existing Ideas
The MPCC variants were designed to achieve two levels of secrecy. The superuser possessed access to the precise sensor data, while the semi-authorized user could only obtain statistical data or signals without compromising sensitive information, depending on the chosen MPCC variant. By enabling computationally intensive sparse signal recovery to be  
Figure 9: Architecture for privacy-preserving cloud-IoT platform. performed at the cloud level, the MPCC scheme effectively tackled the challenges associated with the exponential growth of IoT sensor data, including energy consumption and storage requirements, while addressing concerns regarding data privacy in cloud computing. Compared to existing schemes, the MPCC scheme significantly reduced the computational complexity for IoT sensor devices and data end-users. Experimental results based on three datasets, namely smart meter readings, electrocardiogram data, and images, showcased the efficacy of the MPCC framework in terms of statistical decryption and data anonymization. The MPCC scheme developed by [75] emerged as a promising solution that not only addressed the challenges posed by IoT data processing and privacy in cloud computing but also demonstrated enhanced efficiency and effectiveness compared to previous approaches. The multi-class encryption architecture for multi-class data consumers with a cloud storage facility is demonstrated in Figure 6.0 Further, Figure 11 represents the service model for cloud-assisted storage and decompression. The proposed approach, as seen in Figure 12, involves the advancements in [PERSON] et al. 's [76] model. This method involves the generation of secret keys through synchronization, which are then combined with model-encrypted data packets and transmitted to  
Figure 6.1 Service model for cloud-assisted storage and decompression. Figure 6.2 Multi-class encryption architecture for multi-class data consumers with a facility for cloud storage. the cloud. These secure data packets are subsequently transmitted over a public network, with monitoring in place to prevent unauthorized data leakage. The deliberate lack of cohesion in this approach aims to prevent data storage from being outsourced to the cloud. This distribution model can significantly change the perception of authorized data owners regarding cloud storage, resulting in a significant improvement in addressing trust issues between data owners and cloud service providers. The system architecture of the cloud archive framework, illustrated in Figure 13, consists of multiple components and their corresponding relationships. The workflow procedure can be divided into three clear stages. Initially, the first stage takes place within the client's intranet. It is followed by the second stage, which occurs in the cloud base module. Lastly, the third stage involves monitoring. The primary objective of this approach is to guarantee the secure storage of data in the cloud by transmitting data  
Figure 6.3 Architectural representation of multi-class encoding and outsourcing of computationally expensive end users. Figure 6.4 Proposed model architecture for data security. packets generated through key generation. Furthermore, to mitigate potential risks posed by different types of hackers on the network, a monitoring system is deployed to ensure the accurate sequencing of data transmission from the sender to the receiver. This process is illustrated in Figure 6.5  
In this context, [PERSON] proposed the BCBF (_Binary Conversion, Block Reordering, and Fuzzification_) framework in 2023 [77]. The proposed framework applies secure quantum key distribution to enhance data security in the cloud. The main concern addressed by the framework is the secure distribution of encryption keys among users, considering the potential threat of hackers gaining access to the secret key through advanced quantum computers. The enhanced BCBF framework, depicted in Figure 15, addresses this issue and provides a solution for secure key distribution.