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Optimized Data Hiding in Complemented or Non- Complemented Form in Video

Steganography

Samar Kamil, Masri Ayob, Siti Norul Huda Sheikh Abdullah & Zulkifli Ahmad

Abstract

Optimal match in the cover media was found to be effective for accurate data hiding and
improving the visual quality of steganography algorithms. Lately, several optimized
steganography algorithms including least significant bit (LSB) match, genetic algorithm
(GA), particle swarm optimization (PSO) were developed for cloud data security against
possible attacks. Although these algorithms can search optimal bits match in the cover
media to hide the secret data precisely with less variability, the techniques consume
computational time. Therefore, this paper proposed a steganography technique which
can achieve almost zero variability and very low computational time. The data hiding of
secret data bits in complemented or non-complemented forms were achieved and
optimized by using video steganography. Furthermore, the indexes for the
complemented or non-complemented form were hidden in the covered frame. This
allowed information to be conveyed efficiently to the receiver when extracting the secret
messages. The performance of the proposed algorithm was assessed using various
parameters such as peak signal to noise ratio (PSNR), embedding capacity, normalized
cross- correlation, average difference and normalized absolute error. The Results
revealed that the proposed steganography system is superior compared to the existing
state of the art techniques. The developed algorithm was established to be greatly
effective for video data security management in cloud computing.

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