Optimal Data Hiding Key in Encrypted Images Based Digital Image Security in Wireless Sensor Networks

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


An effective optimal Data Hiding (DH) key with Light Weight Encryption (LWE) is proposed in this chapter. There are numerous issues in wireless sensor organize like client authentication just as information travel in the system isn’t so much secure. The image was encrypted with a secret key; yet conceivable to insert extra information for secret key. On sender side, the cover image was considered for the encryption procedure by hash function after which the data hiding method was used to hide the images utilizing the optimal data hiding keys. For key selection the current research utilized the Enhanced Cuckoo Search Optimization (ECS) method. The most extreme embedding capacity and security level were achieved. In reversible process, at the receiver side, the embedded image undergoes decryption procedure to recouped image and the data is selected by public key (Shankar and Eswaran in J Circuits Syst Comput 25(11):1650138, 2016) [1]. It can be applied in various application situations; moreover, the data extraction and image recovery are free of any errors. From this security model, the hided image containing the installed information can be then sent to combination focus utilizing sensor networks. At the combination focus, the hidden information is separated from the picture, the required handling is performed and choice is taken consequently. From the implementation procedure, the proposed model attained the most extreme Hiding Capacity (HC) (91.073%) and the greatest PSNR (59.188 dB), compared to other conventional techniques.


Data hiding (DH) Key selection Optimization Security Embedding Extracting and light weight encryption 


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© 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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