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An Optimal Lightweight Cryptographic Hash Function for Secure Image Transmission in Wireless Sensor Networks

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Secure Image Transmission in Wireless Sensor Network (WSN) Applications

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 564))

Abstract

In the recent years, numerous security schemes have been proposed to secure the data and Digital Images (DI) over WSNs. Especially, encryption and decryption algorithms are structured and actualized to provide secrecy and security in WSN during the transmission of image-based information just as in storage. In this chapter, Lightweight Cryptography (LWC) based hash function is used for image security in WSN. The hash function keeps up different guidelines which contain a set of tenets with user details, IP address, public and private keys. The hash value of encryption was developed upon the optimal secret key and it was recognized by the Enhanced Cuckoo Search (ECS) optimization. In this ECS model, cuckoo birds choose the nests of various birds to leave its eggs i.e., optimal keys. Further impressive fitness function parameters such as Peak Signal to Noise Ratio (PSNR) were kept consistent in this research. The proposed system provided expanded security and adequately utilized the algorithm when compared with ordinary encryption and optimization strategies.

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Authors and Affiliations

  1. School of Computing, Kalasalingam Academy of Research and Education, Virudhunagar, Tamil Nadu, India

    K. Shankar

  2. Faculty of Computers and Information, Mansoura University, Mansoura, Egypt

    Mohamed Elhoseny

Authors
  1. K. Shankar
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  2. Mohamed Elhoseny
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Correspondence to K. Shankar .

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Shankar, K., Elhoseny, M. (2019). An Optimal Lightweight Cryptographic Hash Function for Secure Image Transmission in Wireless Sensor Networks. In: Secure Image Transmission in Wireless Sensor Network (WSN) Applications. Lecture Notes in Electrical Engineering, vol 564. Springer, Cham. https://doi.org/10.1007/978-3-030-20816-5_4

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  • DOI: https://doi.org/10.1007/978-3-030-20816-5_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-20815-8

  • Online ISBN: 978-3-030-20816-5

  • eBook Packages: EngineeringEngineering (R0)

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