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Machine and Deep Learning Techniques for Internet of Things Based Cloud Systems
| Content Provider | Scilit |
|---|---|
| Author | Bandi, Raswitha Tejaswini, K. |
| Copyright Year | 2021 |
| Description | From the past decade, the devices becoming very smart using technology called Internet of Things, where the things are connected over the network. The devices are connected and Communicated over the network without human intervention. Over time, the numbers of devices are increasing and the data that is communicated among the devices is increasing. When the incoming data is more, the question is how to store and process that large amount of data. The answer for this is the cloud has opened up access to tremendous computing power and storage. Uptime so devices for successful operation were connected to cloud and these devices could communicate to each other over cloud as a channel that was the first entry point of IoT via the cloud. Once the data started flowing in the cloud, the next is to process the data because computing was very close to storage. So, for processing the clients tapping big data clusters and to communicate accurate data among vast number of devices, Machine Learning and Deep Learning Techniques are used. In this chapter, various machine learning and deep learning techniques for the Internet of Things based cloud system security is discussed. Book Name: Data Science and Data Analytics |
| Related Links | https://api.taylorfrancis.com/content/chapters/edit/download?identifierName=doi&identifierValue=10.1201/9781003111290-21-25&type=chapterpdf |
| Ending Page | 354 |
| Page Count | 24 |
| Starting Page | 331 |
| DOI | 10.1201/9781003111290-21-25 |
| Language | English |
| Publisher | Informa UK Limited |
| Publisher Date | 2021-08-06 |
| Access Restriction | Open |
| Subject Keyword | Book Name: Data Science and Data Analytics Things Cloud Learning Techniques Internet Machine and Deep Learning Devices |
| Content Type | Text |
| Resource Type | Chapter |
