A REVIEW ON FRAUD DETECTION IN CLOUD USING DATA MINING

Authors

  • Pranav Rangwala Department of Computer Engineering Chhotubhai Gopalbhai Patel Institute of Technology, Bardoli Uka Tarsadia University
  • Mrs.Vibha A. Patel Department of Computer Engineering Chhotubhai Gopalbhai Patel Institute of Technology, Bardoli Uka Tarsadia University

Keywords:

cloud computing, Software-as-a-Service, pattern, cloud service, data mining.

Abstract

Cloud computing, undoubtedly, has become the buzzword in the IT industry today. Looking at
the potential impact it's on varied business applications further as in our daily life. Cloud computing is an
emerging computing paradigm in which the resources such as storage, processors and software applications
are provided as services, remotely over the Internet. The software applications in the cloud may be targeted on
different platforms. In this report, there is main focus on one of cloud services “Software as a Service
(SAAS)”. In SaaS model, the shopper needs to depend upon the service provider for correct security
measures. The provider must ensure that multiple users don‟t get to see each other‟s data. The main approach
of this report is to detect fraud in the cloud using data mining. The whole process related to security and its
handling is organized by SaaS Provider. Data security and access control are the most challenging research
work going on, at present, in cloud computing .For access control; Pattern Mining is useful when user pattern
will be changed. Data mining is the process of extracting useful patterns or knowledge from large databases.
Though, data mining also poses a risk to privacy and information protection if not done or used properly.

Published

2014-03-25

How to Cite

Pranav Rangwala, & Mrs.Vibha A. Patel. (2014). A REVIEW ON FRAUD DETECTION IN CLOUD USING DATA MINING. International Journal of Advance Engineering and Research Development (IJAERD), 1(3), 306–309. Retrieved from https://ijaerd.com/index.php/IJAERD/article/view/5396