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Hash-Based Rule Mining Algorithm in Data-Intensive Homogeneous Cloud Environment

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Proceedings of the Second International Conference on Computer and Communication Technologies

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 379))

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Abstract

Today Innovative Technology is used to analyze and manipulate huge amount of data in the cloud computing environment. It is very challenging task because the privacy and security are the main issue. Because the scenario of the cloud environment is given, then the distributed database comes in the picture as well as privacy. In this paper, we used the concept of pseudo random number, and for finding the strong Association rule in the database, we used the Inverted hashing and pruning as well as distributing the database into the different number of cloud nodes, and finding the global result, we used Distributed secure sum protocol in the homogenous cloud environments, where the number of attributes will be same, the number of transactions wearies from node to node.

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Authors and Affiliations

  1. Faculty of Engineering and Technology, Jodhpur National University, Jodhpur, Rajasthan, India

    Raghvendra Kumar & Yogesh Sharma

  2. School of Computer Engineering, KIIT University, Bhubaneswar, India

    Prasant Kumar Pattnaik

Authors
  1. Raghvendra Kumar
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  2. Prasant Kumar Pattnaik
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  3. Yogesh Sharma
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Corresponding author

Correspondence to Raghvendra Kumar .

Editor information

Editors and Affiliations

  1. Dept. of Computer Science and Engineering, Anil Neerukonda Institute of Technology and Sciences, Visakhapatnam, India

    Suresh Chandra Satapathy

  2. Department of CSE, CMR Technical Campus, Hyderabad, India

    K. Srujan Raju

  3. Computer Science & Engineering, Kalyani University, Nadia, West Bengal, India

    Jyotsna Kumar Mandal

  4. Electronics and Communication Engineering, Shri Ramswaroop Memorial Group of Professional Colleges, Lucknow, Uttar Pradesh, India

    Vikrant Bhateja

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© 2016 Springer India

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Kumar, R., Pattnaik, P.K., Sharma, Y. (2016). Hash-Based Rule Mining Algorithm in Data-Intensive Homogeneous Cloud Environment. In: Satapathy, S., Raju, K., Mandal, J., Bhateja, V. (eds) Proceedings of the Second International Conference on Computer and Communication Technologies. Advances in Intelligent Systems and Computing, vol 379. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2517-1_3

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  • DOI: https://doi.org/10.1007/978-81-322-2517-1_3

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  • Publisher Name: Springer, New Delhi

  • Print ISBN: 978-81-322-2516-4

  • Online ISBN: 978-81-322-2517-1

  • eBook Packages: EngineeringEngineering (R0)

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