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Fuzzy-Based Privacy Preserving Approach in Centralized Database Environment

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Advances in Computational Intelligence (ICCI 2015)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 509))

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Abstract

In data mining applications, sharing of huge volume of detailed personal data is proved to be beneficial. Different types of data include criminal records, medical history, shopping habits, credit records, etc. These types of data are very much significant for any company and governments for decision making. When analyzing the data, privacy policy may avoid data owners from sharing information. In privacy preserving, data owner must provide a solution for achieving the dual goal of privacy preservation as well as accurate clustering result. Nowadays, privacy issues are challenging concern for the data miners. Privacy preservation is a multitalented task as it ensures the privacy of individuals without trailing the correctness of data mining results. This paper proposes data transformation methods for privacy preserving clustering based on fuzzy in centralized database environment. After experimenting, results proved that hybrid approach gives best results for all the member functions.

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Authors and Affiliations

  1. School of Engineering & Technology, Vikram University, Ujjain, M.P, India

    V. K. Saxena

  2. Birla Institute of Technology, Mesra, Ranchi, Jharkhand, India

    Shashank Pushkar

Authors
  1. V. K. Saxena
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  2. Shashank Pushkar
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Correspondence to V. K. Saxena .

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Editors and Affiliations

  1. Department of Computer Science and Engineering, Birla Institute of Technology Mesra, Ranchi, Jharkhand, India

    Sudip Kumar Sahana

  2. Department of Computer Science and Engineering, Birla Institute of Technology Mesra, Ranchi, Jharkhand, India

    Sujan Kumar Saha

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Saxena, V.K., Pushkar, S. (2017). Fuzzy-Based Privacy Preserving Approach in Centralized Database Environment. In: Sahana, S.K., Saha, S.K. (eds) Advances in Computational Intelligence. ICCI 2015. Advances in Intelligent Systems and Computing, vol 509. Springer, Singapore. https://doi.org/10.1007/978-981-10-2525-9_29

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  • DOI: https://doi.org/10.1007/978-981-10-2525-9_29

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-2524-2

  • Online ISBN: 978-981-10-2525-9

  • eBook Packages: EngineeringEngineering (R0)

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