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An enhanced soft computing-based formulation for secure data aggregation and efficient data processing in large-scale wireless sensor network

  • M. ShobanaEmail author
  • R. Sabitha
  • S. Karthik
Methodologies and Application
  • 32 Downloads

Abstract

Rapid growth in wireless technologies and communication, wireless sensor network (WSN) skills, data gathering and management models has paved the sensor technology a great impact on all factors of human life. In WSN, maximum consumption of constrained resources is considered to be the major challenge. Additionally, secure data aggregation has made the research domain more interesting. For consuming the limited sensor node resources optimally, data aggregation model plays a vital role. It reduces the redundant and unwanted data transmission and enhances the accuracy of data, thereby reducing the energy consumption rate and consumption overhead. Hence, for balancing the energy efficient data processing with secure data aggregation in large-scale WSN, optimized security model using enhanced fully homomorphic encryption (OSM-EFHE) has been developed in this work. First, the network is divided into clusters and cluster head which acts as an aggregator is selected based on the fuzzy if–then rule which helps in consumption of energy. Second, it provides data confidentiality and maintains subjective aggregation functions through fully homomorphic encryption (FHE). In this work, Van Dijk, Gentry, Halevi and Vaikunathan key generation plan with public key compression is used which condenses the public key dimension which is one of the major computations overhead for FHE. Finally, data integrity operation has also been induced with message authentication code. When comparing with the existing approaches, simulation results make a clear note of average delay of the network as 1.2 ms and a higher throughput of 4500 bps approximately. Thus, the overall transmission of data has been increased by means of employing OSM-EFHE model.

Keywords

Security model using enhanced fully homomorphic encryption (OSM-EFHE) Data aggregation Message authentication code (MAC) DGHV key generation scheme Fuzzy logic Soft computing 

Notes

Acknowledgements

This research is not supported under any funding.

Compliance with ethical standards

Conflict of interest

The authors declare that they have no conflict of interest.

Human and animal rights

This article does not contain any studies with human participants or animals performed by any of the authors.

Informed consent

All referred studies are highlighted in the literature review.

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Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2020

Authors and Affiliations

  1. 1.Department of Computer Science and EngineeringSNS College of TechnologyCoimbatoreIndia

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