A Secure and Efficient Framework for Crowdsourcing-Based Mobile Cloud Computing: Enhancing Task Management, QoS, and Real-Time Risk Monitoring

This work aims to develop a secure and efficient process in crowdsourcing-based systems, such as mobile cloud computing. This project is developed to address the rising concern about security vulnerability and the degradation in such environments. The primary objective included enhancing the Quality of Service (QoS) metrics. This process includes developing a secured task management distribution and acceptance system, this additionally involves real-time monitoring of potential risks associated with task distribution and users. The system would be integrating advanced encryption mechanism protocols to protect sensitive task information which also provides real-time notifications in the administrators’ dashboard, for early detection of potential risk identification and allows admins to action on such risk for mitigation. Additionally, the platforms would be offering the QoS metrics on the admin dashboard for Admin users to monitor, this would include task completion time, acceptance delay, and the count of failed task counts. This metric's purpose is to allow admins to maintain a high performance on user satisfaction. The report will highlight the project structure, design, security, implementation, and how the system was developed according to the proposal while addressing the challenges that are associated with crowdsourcing-based mobile cloud computing. The paper covers the system’s architecture, security features, and real-world implementation, along with the technical challenges faced and how they were resolved to ensure a secure and reliable system.