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An Optimal Haar Wavelet with Light Weight Cryptography Based Secret Data Hiding on Digital Images in Wireless Sensor Networks

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

Abstract

Security is the rising concern in this specialized rebellion that attracts the analysts towards research and new commitment in Wireless Sensor Network (WSN) field. This chapter proposes a creative technique for image security in WSN using Steganographic and cryptographic model which secures the selected cover images and secret information. The effective Opposition-based Particle Swarm Optimization (OPSO) with Haar wavelet coefficients from Discrete Wavelet Transform (DWT) was brought into the embedding procedure. From this procedure, the encrypted file was deciphered though the encoded document may hide the information even now. This optimal wavelet attained the most extreme Hiding Capacity (HC) and PSNR rate. Finally, the stego images were considered in the security Model i.e., LWC-based SIMON block cipher. It works on the basis of key and round generation model and towards the end, the reverse procedure occurs with the image decryption and extraction modeling. The usage results demonstrated that the proposed security strategy has the most extreme CC and PSNR values (52.544) with minimum error rate (0.493) in comparison with other conventional strategies.

Keywords

Steganography Security in WSN Discrete wavelet transform (DWT) and particle swarm optimization 

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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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