Universal Keyword Classifier on Public Key Based Encrypted Multikeyword Fuzzy Search in Public Cloud.

Shyamala Devi Munisamy,Arun Chokkalingam

doi:10.1155/2015/706102

Abstract

Cloud computing has pioneered the emerging world by manifesting itself as a service through internet and facilitates third party infrastructure and applications. While customers have no visibility on how their data is stored on service provider's premises, it offers greater benefits in lowering infrastructure costs and delivering more flexibility and simplicity in managing private data. The opportunity to use cloud services on pay-per-use basis provides comfort for private data owners in managing costs and data. With the pervasive usage of internet, the focus has now shifted towards effective data utilization on the cloud without compromising security concerns. In the pursuit of increasing data utilization on public cloud storage, the key is to make effective data access through several fuzzy searching techniques. In this paper, we have discussed the existing fuzzy searching techniques and focused on reducing the searching time on the cloud storage server for effective data utilization. Our proposed Asymmetric Classifier Multikeyword Fuzzy Search method provides classifier search server that creates universal keyword classifier for the multiple keyword request which greatly reduces the searching time by learning the search path pattern for all the keywords in the fuzzy keyword set. The objective of using BTree fuzzy searchable index is to resolve typos and representation inconsistencies and also to facilitate effective data utilization.

Highlights

Cloud computing [1, 2] makes the infrastructure, platform, and software as a service for the worldwide users
We propose new Scheme Asymmetric Classifier Multikeyword Fuzzy Search (ACMFS) which greatly reduces the time spent for searching the data
The implementation of the proposed work was accomplished through Asymmetric Classifier Multikeyword Fuzzy Search (ACMFS) cloud data utilization service architecture using Jelastic PaaS LayerShift cloud storage provider which offers infrastructure, platform, and application as a service for the customers

Summary

Introduction

Cloud computing [1, 2] makes the infrastructure, platform, and software as a service for the worldwide users. This means the cloud storage is under a state to respond to increasing customer data and effective access to their data To retain their customers, the cloud storage must optimize its computational time for searching the requested data. It must have some efficient searching method or additional provisions to serve their customers to provide the requested data immediately With this observation, we propose a new searching method named Asymmetric Classifier Multikeyword Fuzzy Search which utilizes the universal keyword classifier to store the search path pattern of all the keywords of their customers data. We propose a new searching method named Asymmetric Classifier Multikeyword Fuzzy Search which utilizes the universal keyword classifier to store the search path pattern of all the keywords of their customers data This allows the cloud storage server to use its time effectively to perform multiprocessing of their growing customers. The searchable encryption [6,7,8] is recommended which takes encrypted data as files labeled with keywords and lets user securely search over the files through predefined keywords for retrieving them

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Results

Conclusion