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Design of optimal metaheuristics based pixel selection with homomorphic encryption technique for video steganography

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Abstract

Presently, the technological advancements in electronics and networking fields have resulted in the massive rise in the communication of digital information, especially videos. Since users access Internet in an open channel, the digital data can be altered or tampered with easily. Therefore, encryption and steganography techniques have been developed to ensure secure communication. In video steganography technique, the optimal pixels in the cover video are chosen and the encrypted secret message can be embedded into the chosen pixels, resulting in the generation of stego video. Keeping this in mind, this paper introduces an optimal metaheuristics based pixel selection with homomorphic encryption technique for video steganography (OMPS-HEVS) technique. The proposed OMPS-HEVS technique initially performs frame conversion process and applies a two-dimensional discrete wavelet decomposition (2D-DWT) process. Besides, the optimal pixel selection process takes place using the glowworm swarm optimization (GSO) algorithm. Moreover, Optimal Homomorphic encryption (OHE) with Jaya Optimization Algorithm (JOA) is applied to encode the secret message. The design of optimal key generation process of OHE using JOA helps to accomplish improved security. The experimental validation of the OMPS-HEVS technique on the benchmark test video exhibited the superior performance of the OMPS-HEVS technique over the other existing techniques.

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Authors and Affiliations

  1. Department of Computer Science and Engineering, Dayananda Sagar University, Bengaluru, India

    M. N. Sharath & T. M. Rajesh

  2. Department of Computer Science and Engineering, RVITM, Bengaluru, India

    Mallanagouda Patil

Authors
  1. M. N. Sharath
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  2. T. M. Rajesh
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  3. Mallanagouda Patil
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Correspondence to M. N. Sharath.

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Sharath, M.N., Rajesh, T.M. & Patil, M. Design of optimal metaheuristics based pixel selection with homomorphic encryption technique for video steganography. Int. j. inf. tecnol. 14, 2265–2274 (2022). https://doi.org/10.1007/s41870-022-01005-9

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  • DOI: https://doi.org/10.1007/s41870-022-01005-9

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