Designing Technique for Protecting the Composition Results from Privacy Attacks

Authors

  • Kachare Jitendra Vilas Student, Department of Computer Science and Engineering, SKN Sinhgad College of Engineering, Pandharpur, India
  • Chavan Vijatsingh Professor, Department of Computer Science and Engineering, SKN Sinhgad College of Engineering, Pandharpur, India
  • Jadhav Hiraman Sheshrao Lecturer, Zeal Polytechnic, Pune, India
  • Omkar Kalyan Wadne Lecturer, Zeal Polytechnic, Pune, India

Keywords:

attacks, designing, technique, protecting, privacy

Abstract

Data as a Service (DaaS) builds on service-oriented technologies to enable fast access to data resources on the Web. However, this paradigm raises several new privacy concerns that traditional privacy models do not handle. In addition, DaaS composition may reveal privacy-sensitive information. In this paper, I am proposing a formal privacy model in order to extend DaaS descriptions with privacy capabilities. The privacy model allows a service to define a privacy policy and a set of privacy requirements. I am also proposing a privacy-preserving DaaS composition approach allowing to verify the compatibility between privacy requirements and policies in DaaS composition. I was proposing a negotiation mechanism that makes it possible to dynamically reconcile the privacy capabilities of services when incompatibilities arise in a composition. I validate the applicability of my proposal through a prototype implementation and a set of experiments.

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Published

18-01-2022

How to Cite

[1]
K. J. Vilas, C. Vijatsingh, J. H. Sheshrao, and O. K. Wadne, “Designing Technique for Protecting the Composition Results from Privacy Attacks”, IJRESM, vol. 5, no. 1, pp. 83–85, Jan. 2022.

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Section

Articles