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Survey of Advanced Facial Feature Tracking and Facial Expression Recognition
KARTHICK.K, J.JASMINE PG Scholar, Department of Computer science and Technology, Kalaignar Karunanidhi Institute of Technology, Coimbatore, Tamilnadu, India Assistant Professor, Department of Computer science and Technology, Kalaignar Karunanidhi Institute of Technology, Coimbatore, Tamilnadu, India
Abstract: Cloud Computing is the emerging technology which is providing the effective resource management platform. There are two major types of cloud that is Public and Private cloud. In Private cloud which is formed within the organizations. So in Private cloud data will accessible only by the authorized users and also we provide more level of security inside the organization. In the case of Public Cloud the resources should publically share to all cloud users. So here the issue is security. So we have to provide the security for the data which is in the Cloud. In Cloud Computing the data will outsourced to the Third Party Storage. We need to protect our data. Providing the security for the Cloud data is challenging. And also we made a detailed study about the Ontology, and how Ontology will use in Cloud. In this paper we made the study on improving the cloud security on the outsourced data.
Keywords: Cloud Computing, Public Cloud, Private Cloud, Third Party, Ontology
How to Cite:
[1] KARTHICK.K, J.JASMINE PG Scholar, Department of Computer science and Technology, Kalaignar Karunanidhi Institute of Technology, Coimbatore, Tamilnadu, India Assistant Professor, Department of Computer science and Technology, Kalaignar Karunanidhi Institute of Technology, Coimbatore, Tamilnadu, India, “Survey of Advanced Facial Feature Tracking and Facial Expression Recognition,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE)