# Cloud Security Using Fine-Grained Efficient Information Flow Tracking
## 5 Data Leak Prevention Using CloudMonitor  
Managing the confidential data flow stored in the cloud means ensuring that only authorized parties can access properly identified and controlled data and documents, which is one of the most important security worries in handling security for an enterprise. A recent significant leaking history of sensitive information has shown that a lot of institutions,  
Figure 8: Performance of QEMU, TEMU, and CloudMonitor.  
Figure 7: Performance of Native Xen, Protected VMs, and Translated VMs.  
encompassing those within government, education, and business, are extremely lacking in this context [71]. As consumer reliance on cloud computing infrastructures increases, it becomes increasingly tougher to track sensitive information transmission and maintain privacy policies. Given the extensive range and diversity of accessible transferring information channels to users in a normal environment of IT, monitoring the flow of data across all cloud storage instances may appear onerous, if not impossible.  
Unauthorized disclosure of private or classified information can inflict significant harm on both organizations and society [72]. Despite substantial investments in cutting-edge security technologies, preventing leaks of sensitive information remains a formidable challenge. Human error, including incidents of data extrusion and social engineering, plays a significant role in compromising security [73]. Users must consistently adhere to dissemination limitations, yet carelessness and impatience often lead to inadvertent compromises in security.  
Technology holds promise in identifying and mitigating these negligent behaviors. With appropriate controls and monitoring mechanisms in place, we can enhance accountability and mitigate the effects of human error. However, developing effective and feasible technological solutions requires addressing numerous challenges. These include keeping track of the various ways information is transferred among users and accounting for the diverse methods through which cloud data can be modified, converted, and transmitted.  
Most popular operating systems (OSs) and user applications provide minimal support in this regard. Simply put, current security systems for mediating access to data in the cloud are ill-equipped to follow subsequent data changes and the flow of data between tenants. Considering a user who opens a private document in their word processor and edits it using cloud-based data. Then, the document is transferred (moved, copied, or duplicated), within an environment without data leak prevention (DLP) [74] for which there are no dissemination limits, in a rare moment of carelessness. This simple procedure creates another confidential paragraph copy. However, this copy lacks any original document relationship, its confidential status, and constraints on its publishing undoubtedly putting the confidential material at risk of leaking.  
In the absence of a thorough software stack overhaul from the ground up, we believe that preventing occurrences of this sort demands an overall and clear platform for user data flow tracking, information exchange tracking, channels, and security standards implementation. Our premise is (1) a comprehensive platform for tracking information flow that is compatible with unmodified programs and OSs is feasible, and (2) specialized middleware offers the most efficient and architectural base for a platform of this nature.  
To test this concept, we provide an IFT framework with a unique architecture of security and a group of accompanying methods for tracking fine-grained information flows in cloud storage services. Our overarching objective is to provide a strong platform of information management that enables enterprises to set and implement end-to-end regulations for the propagation and utilization of sensitive information saved to the cloud.