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  Published Paper Details:

  Paper Title

Cloud Robotics Security Framework and Performance Assessment: An End Point Balancing Technique

  Authors

  Dr. Rishi Kumar Sharma,  Dr.Daya Shankar Pandey,  Dr Bharti chourasia,  Dr. Dinesh kumar sahu

  Keywords

Cloud Robotics, End Point Balancing, Security.

  Abstract


It is a remote local cloud that addresses cloud robotics security issues with End Point Balancing Technology (CRT). There is extremely little literature with theoretical and statistical backing, even though numerous related hypotheses have been put out. The research on model construction and performance evaluation is the main topic of this work. First, an End Point Technique-based cloud robotics security model is created. With this model, the system's concurrency and distributed large-capacity storage performance are greatly in- creased, and numerous security vulnerabilities associated with typical cloud robotics systems may be avoided. Second, average latency and throughput are used to assess the performance of the suggested model; these metrics are significant for further study and optimization in this area. The analysis and test results show that the security model based on End Point Balancing is successful..

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2406921

  Paper ID - 264614

  Page Number(s) - i147-i149

  Pubished in - Volume 12 | Issue 6 | June 2024

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Dr. Rishi Kumar Sharma,  Dr.Daya Shankar Pandey,  Dr Bharti chourasia,  Dr. Dinesh kumar sahu,   "Cloud Robotics Security Framework and Performance Assessment: An End Point Balancing Technique", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.12, Issue 6, pp.i147-i149, June 2024, Available at :http://www.ijcrt.org/papers/IJCRT2406921.pdf

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ISSN: 2320-2882
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Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


ISSN
ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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