Using REST API and Middleware, Securing IoT Devices and Securely Connecting the Dots
Abstract
The Internet of Things (IoT) is a really revolutionary technology with unfathomable potential for development, influence, and capacity. We outline the function of REST API in IoT Systems and some basic ideas for IoT, a field whose technology can track and count everything. We also emphasise the idea of middleware, which links these devices to the cloud. The security and privacy of data are now under increasing danger from emerging IoT applications in the cloud. Therefore, it is necessary to implement a secure IoT system that forbids attackers from entering the network through IoT devices and secures data while it is being sent from IoT devices to the cloud. We describe how the Representational State Transfer (REST) API enables linked devices to be exposed securely.
References
Jiwani, N., Gupta, K., Sharif, M. H. U., Adhikari, N., & Afreen, N. (2022, October). A LSTM-CNN Model for Epileptic Seizures Detection using EEG Signal. In 2022 2nd International Conference on Emerging Smart Technologies and Applications (eSmarTA) (pp. 1-5). IEEE.
Jiwani, N., Gupta, K., & Whig, P. (2023). Assessing Permeability Prediction of BBB in the Central Nervous System Using ML. In International Conference on Innovative Computing and Communications (pp. 449-459). Springer, Singapore.
Reddy, Yeruva Ramana, Automation and Artificial Intelligence in Construction and Management of Civil Infrastructure (May 5, 2019). International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.429-432, May 2019, Available at SSRN: https://ssrn.com/abstract=4211907
Reddy, Yeruva Ramana, A Machine Learning Framework For Predicting Displacements Due To Deep Excavations And Tunnels (October 4, 2019). International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.7, Issue 4, pp.366-369, October 2019, Available at SSRN: https://ssrn.com/abstract=4211434
Reddy, Yeruva Ramana, Forecasting Displacement of Underground Caverns Using Machine Learning Techniques (December 12, 2020). International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.8, Issue 12, pp.3438-3441, December 2020, Available at SSRN: https://ssrn.com/abstract=4211457
Gupta, K., Jiwani, N., & Whig, P. (2023). Effectiveness of Machine Learning in Detecting Early-Stage Leukemia. In International Conference on Innovative Computing and Communications (pp. 461-472). Springer, Singapore.
Singu, S. (2021). Novel HealthCare Framework for Cardiac Arrest. International Journal of Sustainable Devlopment in Field of IT, 13(13). Retrieved from https://journals.threws.com/index.php/IT/article/view/71
Singu, S. (2021). Business Intelligence on the Quality of Decision Making. International Journal of Statistical Computation and Simulation, 13(1). Retrieved from https://journals.threws.com/index.php/IJSCS/article/view/24
Singu, S. (2022). Analysis Of Mental Health During COVID-19 Pandemic. International Journal of Sustainable Development in Computing Science, 4(3), 41-50. Retrieved from https://www.ijsdcs.com/index.php/ijsdcs/article/view/101
