Abstract
The entire world has now entered a computing era, particularly Cloud Computing, which has been connected with the Internet of Things. The IoT system functions as a cloud-based universal global neural network that connects various things, objects, and sensors. RFID and wireless sensor networks are ready to accept modern challenges. Consequently, a large amount of data is being generated, acquired, and gathered, and that data is being handled into beneficial actions in order to take control over our lives and make our lives far more comfortable and secure. Cloud computing technologies facilitate large data processing and enable quick decision-making using different machine learning techniques. It also addresses the plethora of challenges associated with processing and handling those high volumes of data, besides storing it in cloud environments. Nowadays every organization demands to update their information in the cloud so that data can be fetched from anywhere. In this regard, in different countries internet access is readily accessible to people on their devices and their smartphones, so the data transmission can be more easier and more cost-effective through the internet. Biometrics cyber security scanners, traffic and parking management systems, driverless vehicles, and home automation are just a few of the smart applications that use cloud computing and IoT together. The authors of this paper have discussed how data production, data integrity, confidentiality, authentication, and verification have become more essential as cloud computing and IoT-based smart applications have grown latterly.
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Nag, A., Mobin, G., Kar, A., Bera, T., Chandra, P. (2023). A Review on Cloud-Based Smart Applications. In: Abraham, A., Pllana, S., Casalino, G., Ma, K., Bajaj, A. (eds) Intelligent Systems Design and Applications. ISDA 2022. Lecture Notes in Networks and Systems, vol 646. Springer, Cham. https://doi.org/10.1007/978-3-031-27440-4_38
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