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| Title | Impact Of Cloud Security In Digital Twin |
|---|---|
| ID_Doc | 30323 |
| Authors | Susila N.; Sruthi A.; Usha S. |
| Year | 2020 |
| Published | Advances in Computers, 117, 1 |
| DOI | http://dx.doi.org/10.1016/bs.adcom.2019.09.005 |
| Abstract | Digital Twin is a way to virtually represent or model a physical object using the real time data. This innovation sets up a way to deal with industries and organizations to supervise their products, consequently bridging the gap between design and implementations. As the name suggests, “Digital Twin” infers that a reproduction of the product is made in order to have a nearby relationship with the live item. The procedure of computerized twin begins by gathering real time data, processed data, and operational data and performs distinctive investigation which helps in anticipating the future. This additionally enhances the customer experiences by giving a digital feel of their product. The objective behind all these is the job of gathering information and putting them in a place, i.e., the cloud which could store exorbitant data. The user experience gets enhanced by the intervention of digital twin technology which could help in the successful working of the products geographically distributed. The impact of Internet of Things and Cloud Computing lifts up the digital twin. The information gathered from the sources can be arranged in terms of utilization and prospect to change on a timely basis. These data, as they are stored require proper coordination and a legitimate use. Digital Twin innovation assumes incredible opportunities in the field of manufacturing, healthcare, smart cities, automobile and so on. The effect of having a digital twin for the product makes it simple for activities and recognize the blemishes, if any happened. This approach can help reduce the workload and furthermore can get trained on the virtual machine without the need of a specific training. With the most prevailing technologies of today, like Artificial Intelligence, Machine Learning and Internet of Things more prominent approach to train and monitor products, taking care of its own execution, collaborating to different frameworks, performing self-repairs are made possible. Hence the future is getting unfolded with the emerging DIGITAL TWIN era. The massive data utilized in the field of digital twin is prone to severe security breaches. Thus digital twin technology should be handled with extreme care so as to protect the data. Hence, this chapter identifies the ways and means of collecting, organizing and storing the data in a secured cloud environment. The data is filtered according to the use and priority and pushed into the cloud. It is determined to implement an exclusive algorithm for a secured cloud which would greatly benefit the users and the providers to handle and process it effectively. © 2020 Elsevier Inc. |
| Author Keywords | Cloud security; Digital twin instance; Digital twin prototype; Internet of things; Prognostics; Skyhigh security; Virtualization |
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