INTEGRITY VERIFICATION ON CLUSTERED DATA USING PDP IN CLOUD ENVIRONMENTS
Published In: 6TH INTERNATIONAL CONFERENCE ON ADVANCES IN COMPUTING, ELECTRONICS AND ELECTRICAL TECHNOLOGY
Author(s): D PRASANTH , N SANDEEP CHAITANYA , TALLURU CHAITANYA SAI KUMAR
Abstract: Provable data possession (PDP) is a technique for ensuring the integrity of data in storage outsourcing. In this paper, we address the construction of an efficient PDP scheme for distributed cloud storage to support the scalability of service and data migration, in which we consider the existence of multiple cloud service providers to cooperatively store and maintain the clients’ data. We present a cooperative PDP (CPDP) scheme based on homomorphic verifiable response and hash index hierarchy. We prove the security of our scheme based on multi-prover zero-knowledge proof system, which can satisfy completeness, knowledge soundness, and zero-knowledge properties. In addition, we also propose a fuzzy clustering system for analyzing the high dimensional Data bases in cloud Environments. This paper proposes novel effective fuzzy soft clustering systems with the combination of possibilistic c-means.
- Publication Date: 27-Nov-2016
- DOI: 10.15224/978-1-63248-109-2-24
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COMPLEX MAPPING OF 3DCG MODELS WITH JULIA SET AND MANDELBROT SET
Published In: 3RD INTERNATIONAL CONFERENCE ON ADVANCES IN COMPUTING, ELECTRONICS AND ELECTRICAL TECHNOLOGY
Author(s): FUKO NAKAGAMI , NINGPING SUN
Abstract: We introduced color interpolation according to the diverging speed into the flat images of Julia set and Mandelbrot set for making shading-reflecting like effect. We named our method “Complex Mapping”. In this paper we shall describe our color interpolation algorithm and the method how to map Julia set and Mandelbrot set on the inside and outside of the surface of 3DCG models.
- Publication Date: 12-Apr-2016
- DOI: 10.15224/978-1-63248-109-2-25
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