Comparative Analysis Chi-Square and Histogram Methods for Video Steganography Detection
DOI:
https://doi.org/10.30871/jaic.v10i2.12115Keywords:
Video Steganografi, Discrete Cosine Transform, Quantization Index Modulation, Chi – Square Attack, Histogram AnalisysAbstract
The quick increase in using videos to share data makes it easier for secret messages to be hidden using steganography. Even though many methods have been made to find these hidden messages, they aren't well tested when it comes to hiding messages in videos using the frequency domain. This study compares two methods, Chi-Square Attack and Histogram Analysis, to detect hidden messages in videos that use Discrete Cosine Transform (DCT) and Quantization Index Modulation (QIM). MP4 videos are broken into PNG frames, and secret messages are hidden in the mid-frequency DCT parts of the video. The amount of hidden data varies at 0.5%, 2.0%, and 5.0%. The quality of the video after hiding messages is checked using PSNR, SSIM, and Bit Error Rate (BER). The ability of the detection methods to find hidden messages is measured by how accurate they are and how long they take to process. The tests are done on five frames taken from one video without re-compressing it. The research results show that the DCT-QIM method produces very good stego quality with PSNR values consistently above 52 dB and SSIM values ranging from 0.9989 to 0.9999. However, the steganalysis results show that the Chi-Square method only achieved a detection accuracy of 30%, while the Histogram method reached an accuracy of 50%. Paired tests show there's a big difference between the two methods (p < 0.05), even though the overall detection performance is still not very good. These results show that the DCT-QIM-based insertion is fairly resistant to traditional statistical detection methods in controlled testing scenarios.
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