International Journal of Advanced Research and Development

International Journal of Advanced Research and Development


International Journal of Advanced Research and Development
International Journal of Advanced Research and Development
Vol. 3, Issue 1 (2018)

Through Stegnalysis Identification of Extreme Data in Social Media Through WhatsApp Transmitted


Nishtha Pateriya, Dr. Tripti Arjariya

Today WhatsApp is a wide user base social media so numbers of attacker use it to send hidden data through it. It is possible to design an audio steganalyzer based on audio quality measures. Several, seemingly redundant, features need to be used. Apparently these diverse features probe different aspects of the watermarked signals in order to differentiate between clear-objects and stego-objects. In this research paper region-adaptive steganography algorithm which will be used for the novel technic to detect steganography attacks. We propose the major advantages of the proposed steganography detection technique is Spread Spectrum. A distortion metric based on Signal spectrum was designed specifically to detect modifications and additions to audio media. We used the Signal spectrum to measure the distortion. The distortion measurement was obtained at various wavelet decomposition levels from which we derived high-order statistics as features for a classifier to determine the presence of hidden information in an audio signal. In this study, an audio Steganalysis technique is proposed and tested. The objective audio quality measures, giving clues to the presence of hidden messages, are searched thoroughly. In this paper a new algorithm proposed for detection hidden data from the original Audio File transmitted through WhatsApp and has little relation with secret message file. It was providing more security to the information. After analysis our algorithm success rate varies from to 80% for combined active warden and passive warden problems to 100% for certain single methods.
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How to cite this article:
Nishtha Pateriya, Dr. Tripti Arjariya. Through Stegnalysis Identification of Extreme Data in Social Media Through WhatsApp Transmitted. International Journal of Advanced Research and Development, Volume 3, Issue 1, 2018, Pages 460-467
International Journal of Advanced Research and Development International Journal of Advanced Research and Development