A Research Homomorphic Encryption Scheme to Secure Data Mining in Cloud Computing for Banking System

Authors

  • Sneha Sakharkar  Department of Computer Science & Engineering, RTMNU/ KDK’s Smt. Rajshree Mulak College of Engineering for Women/Nagpur, Maharashtra, India
  • Shubhangi Karnuke  Department of Computer Science & Engineering, RTMNU/ KDK’s Smt. Rajshree Mulak College of Engineering for Women/Nagpur, Maharashtra, India
  • Snehal Doifode  Department of Computer Science & Engineering, RTMNU/ KDK’s Smt. Rajshree Mulak College of Engineering for Women/Nagpur, Maharashtra, India
  • Vaishnavi Deshmukh  Assistant Professor, Department Of Computer Science and Engineering, KDK’s Smt. Rajshree Mulak College of Engineering for Women/ Nagpur, Maharashtra, India

Keywords:

Homomorphism Encryption, Decryption, Data mining, Security, Cloud Computing.

Abstract

Big data is difficult to handle, process and analyse using traditional approach. Using services, we can resolve problem like resource sharing, storage capacity and data transfer bottlenecks etc. But there is a main issue of data mining based attacks, allows an adversary or an unauthorized user to extract valuable and sensitive information by analysing the results generated from computation performed on the raw data. In order to provide privacy, security for cloud user as well as cloud provider. We proposed a system for secure data mining using well known techniques like homomorphic encryption system, RSA algorithm. In this process flow, cloud server is unware of data uploaded by the user and the client only gets the computational results. Through an experimental evaluation, we can maintain correctness and confidentiality of final result.

References

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Published

2018-04-30

Issue

Section

Research Articles

How to Cite

[1]
Sneha Sakharkar, Shubhangi Karnuke, Snehal Doifode, Vaishnavi Deshmukh, " A Research Homomorphic Encryption Scheme to Secure Data Mining in Cloud Computing for Banking System, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 4, Issue 4, pp.276-280, March-April-2018.