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Multiple Share Creation with Optimal Hash Function for Image Security in WSN Aid of OGWO

  • K. ShankarEmail author
  • Mohamed Elhoseny
Chapter
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 564)

Abstract

Visual share creation, with a security model, verifies the secret data transmitted by the sender. It uses human vision to decrypt the encrypted images without complex algorithms for secure communication in networking. The image sensing process joined with preparing force and wireless communication makes it rewarding for being abused in wealth in future. The proposed security module beats the downsides of the complex usage in traditional or ordinary cryptography models in wireless sensor network (WSN). This chapter proposed an optimal private key and public key-based hash function for secret share security modeling. Initially, the original Digital Images were considered to produce ‘n’ number of shares for security. When the quantity of share was expanded, the security level also got expanded. In the current technique, three shares were produced by visual secret share creation strategy when the shares were made; hash function and qualities were applied to secure the shares in images. For an optimal key selection model, opposition-based Grey Wolf Optimization (OGWO) was considered. Based on this ideal private key and public keys, the share images were encrypted and decrypted between the sender and the receiver. The test results demonstrated better security, less computational time and the most extreme entropy with high PSNR values when compared with other techniques.

Keywords

Secret share creation WSN Optimization Hash function Light weight encryption Oppositional process 

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.School of ComputingKalasalingam Academy of Research and EducationVirudhunagarIndia
  2. 2.Faculty of Computers and InformationMansoura UniversityMansouraEgypt

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