In this research paper, we delve into the realm of cloud data retrieval and security, exploring the potential of Reconfigurable Radio Interface (RRI) technology to address the evolving challenges in this domain. The exponential growth of sensor-generated data in cloud environments has underscored the need for efficient and secure data retrieval mechanisms. Traditional approaches, while effective, may not fully cater to the dynamic nature of cloud environments and the increasing sophistication of cyber threats. Against this backdrop, we conduct a comprehensive review of existing methodologies, including secure keyword-based retrieval and weighted distance matching algorithms, to assess their efficacy and identify areas for improvement. Leveraging insights from this review, we propose novel algorithms for error detection and localization, as well as event matching, harnessing the capabilities of RRI technology to enhance data retrieval efficiency and security. Our findings reveal that the integration of RRI technology into cloud data management systems offers significant advantages over conventional approaches. The RRI-based Hash algorithm facilitates efficient indexing and retrieval of sensor data in the cloud, resulting in reduced latency and increased scalability. Furthermore, the incorporation of encryption techniques with RRI ensures robust data security, mitigating the risk of unauthorized access and data breaches.

Keywords: Cloud STORAGE, Reconfigurable Radio Interface, Data retrieval, Security, Error Detection, Event Matching.