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Iot Enabled Privacy Preserving In Federated Hybrid Smart Grid Cloud Environment Using Spark

    Authors

    • Dr. Shafali Jain 1
    • Dr.A. Gnanasekar 2
    • Dr S Hasan Hussain 3
    • Dr.C.Bala Subramanian 4
    • S. Stewart Kirubakaran 5

    1 Professor and Head, Department of Electrical and Electronics Engineering, Sagar Institute of Research and Technology, Bhopal, Madhya Pradesh -462041

    2 Associate Professor, Department of Computer Science and Engineering, R.M.D.Engineering College, Kavaraipettai- 601206, Tamilnadu, India

    3 Associate Professor, Department of Computer Science and Engineering, Syed Ammal Engineering College, Ramanathapuram- 623502, Tamilnadu, India.

    4 Assistant Professor, Department of Computer Science and Engineering, Kalasalingam Academy of Research and Education, Virudhunagar- 626126, Tamilnadu, India.

    5 Assistant Professor, Department of Computer Science and Engineering, Saveetha School of Engineering, SIMATS, Thandalam-602105,Tamilnadu, India.

,

Document Type : Research Article

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Abstract

Association rule data mining provides to integrate large volume of dataset and extract information for making effective decisions. The extracting useful information is found large number of disjoint dataset with multiple cloud federations. Cloud federation is a collection of shared data and hosted from multiple cloud user environment. In this case the organizations are sharing data and adopt changing environments. The privacy preserving is an important factor and allows the organization to control the cloud environments while accessing the data. In the paper, we use association rule mining in federated cloud environment using spark model for preserving privacy. In this framework set of user can allows to access the private dataset and encrypt the dataset for providing privacy. In our proposed model we consider confidentiality, privacy and integrity major factors. We propose privacy preserving identity access mode with attribute based access control mechanism in cloud environment. The user can get access from set of policies granted by cloud environment. The spark model is used for testing the experiments and compares the results with existing methods.

Keywords

  • IoT
  • Cloud Services
  • Privacy Preserving
  • Smart Grid
  • Federations
  • Spark model
  • XML
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  • VANCOUVER
    • Article View: 266
    • PDF Download: 324
European Journal of Molecular & Clinical Medicine
Volume 7, Issue 7
November 2020
Page 195-202
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  • Article View: 266
  • PDF Download: 324

APA

Jain, D. S., Gnanasekar, D., Hussain, D. S. H., Subramanian, D., & Kirubakaran, S. S. (2020). Iot Enabled Privacy Preserving In Federated Hybrid Smart Grid Cloud Environment Using Spark. European Journal of Molecular & Clinical Medicine, 7(7), 195-202.

MLA

Dr. Shafali Jain; Dr.A. Gnanasekar; Dr S Hasan Hussain; Dr.C.Bala Subramanian; S. Stewart Kirubakaran. "Iot Enabled Privacy Preserving In Federated Hybrid Smart Grid Cloud Environment Using Spark". European Journal of Molecular & Clinical Medicine, 7, 7, 2020, 195-202.

HARVARD

Jain, D. S., Gnanasekar, D., Hussain, D. S. H., Subramanian, D., Kirubakaran, S. S. (2020). 'Iot Enabled Privacy Preserving In Federated Hybrid Smart Grid Cloud Environment Using Spark', European Journal of Molecular & Clinical Medicine, 7(7), pp. 195-202.

VANCOUVER

Jain, D. S., Gnanasekar, D., Hussain, D. S. H., Subramanian, D., Kirubakaran, S. S. Iot Enabled Privacy Preserving In Federated Hybrid Smart Grid Cloud Environment Using Spark. European Journal of Molecular & Clinical Medicine, 2020; 7(7): 195-202.

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