An Effective Hybridized Classifier Integrated with Homomorphic Encryption to Enhance Big Data Security

  • R. Udendhran
  • M. Balamurgan
Conference paper
Part of the EAI/Springer Innovations in Communication and Computing book series (EAISICC)


Wireless sensor network and big data has gained a lot of importance in recent years. Linear regression, linear classifiers and neural networks have been examined to secure confidential data and enhance privacy protection. The data produced by millions of wireless sensor network generate big data. Big data sources are usually gathered and analysed in wireless sensor network. Therefore major threats prevailing in wireless sensor network must be resolved; hence we proposed an effective hybridized classifier integrated with homomorphic encryption which shows better performances in evaluation. The evaluation shows that the proposed system achieved a higher accuracy rate.


Big data Homomorphic encryption Wireless sensor network 


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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • R. Udendhran
    • 1
  • M. Balamurgan
    • 1
  1. 1.Department of Computer Science and EngineeringBharathidasan UniversityTiruchirappalliIndia

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