Applications hosting over cloud-assisted IOT: a productivity model and method defining accessibility of data security

The Internet of Things has increased the demand for data, which has been met through the use of IoT-assisted cloud computing. However, this paradigm introduces new security complexities regarding the exchange of data between entities. In this paper, we investigate a secure strategy for managing IoT data in a cloud-assisted environment, protecting data privacy during data collection, storage, and access. Our method for mitigating the impact of IoT scalability is meticulously devised and supported by empirical evidence. Our productivity model is based on key operations, configurations, and efficiency factors. Our proposed method makes a substantial contribution to both system scalability and user data privacy, surpassing previous scale levels by a significant margin. In particular, our research investigates a secure strategy for managing IoT data in a cloud-assisted environment. We believe that our research will assist in bridging the divide between infrastructure, development, and testing teams, resulting in robust and stable productivity software. Our findings demonstrate the viability and efficacy of our proposed method, which outperforms previous models and previous research.