# Privacy-Aware Cloud Architecture for Collaborative Use of Patients' Health Information
## 3 Proposed Architecture
### Architecture Implementation
#### 3.4.2 Testing the Architecture
The CSR is not accessible by the user; it only communicates with the RA component. **The separation of information**

The separation of information while it is stored in the system makes it difficult to perform any unauthorized actions that could lead to reading the information that is stored on the cloud, especially because the cloud provider cannot learn the content of the information that is stored on the cloud. The proposed system design provides means of security for the information in its simplest implementation due to: (1) Storing encrypted information and decryption keys on different components of the architecture; and (2) requiring the

Figure 12: Security stations in the proposed system. collaboration of three different components of the architecture to gain access to the information that is stored in the system. The information required to identify patients and their information is stored on the RA. Therefore, compromising any of these three components (CSP, SKA, or RA) will be fruitless to any party in terms of reading the information stored on the cloud. ### Architecture Limitation

In the practical implementation of the proposed architecture, there are some bandwidth-related issues that need to be addressed before obtaining the best of what the proposed architecture can offer in terms of information sharing. Bandwidth can be a significant issue when adopting cloud computing in healthcare, especially when it comes to accessing large amounts of data, such as medical images or electronic health records (EHRs) [65]. These issues may include:

1. Network congestion: Healthcare organizations may experience network congestion when multiple users are accessing cloud-based services simultaneously. This can cause slowdowns, latency, or even a complete loss of service. 2. Geographic location: Healthcare providers located in remote or rural areas may not have access to high-speed Internet, which can make accessing cloud-based services difficult. 3. Data-intensive applications: Certain healthcare applications, such as EHRs or medical imaging systems, generate large amounts of data that need to be transferred over the Internet. This can be a bandwidth-intensive process, which can lead to slowdowns and performance issues. 4. Security: High-bandwidth applications may require additional security measures to protect patient data. This can further slow-down the data transfer process and add to the bandwidth requirements. 5. Cost: Higher bandwidth requirements can result in increased costs for healthcare organizations, which may make cloud adoption less feasible. To mitigate these bandwidth issues, healthcare organizations can take several steps to improve their network infrastructure and better support the bandwidth requirements, enabling them to benefit from the advantage that cloud computing offers in terms of sharing information. These steps include:

1. Assessing their current bandwidth requirements and planning for future needs. This can help ensure that their network infrastructure can handle the bandwidth requirements of cloud-based applications. 2. Investing in high-speed Internet connections and upgrading network infrastructure, including routers and switches. 3. Considering cloud providers that offer content delivery networks (CDNs) to minimize latency and speed up data transfer times. 4. Implementing data compression and deduplication techniques to reduce the amount of data that needs to be transferred over the Internet. 5. Prioritizing network traffic to ensure that bandwidth-intensive applications are given priority over less critical applications. ## 5 Conclusions

In conclusion, information about patients' health generates special value when it is exchanged and collaboratively used among different parties involved in the healthcare domain.