Multimodal Steganography: A Comparative Analysis of LSB and DCT Methods for Image and Audio Data Concealment

Multimodal Steganography: A Comparative Analysis of LSB and DCT Methods for Image and Audio Data Concealment

연구 분야: Strategies

학회: 2024 IEEE 9th International Conference for Convergence in Technology (I2CT)

Multimodal steganography is a technique that involves concealing information in multiple types of media to enhance data-hiding capabilities. In this proposed work, exploration and comparison of two distinct methods for multimodal steganography are performed: the LSB method and the DCT method for the modalities. The LSB method is straightforward to implement and has a high data capacity, but it is susceptible to detection and quality degradation. In contrast, the DCT method, while more complex, offers better robustness and perceptual quality, particularly for larger data payloads. The comparison considers factors such as capacity, robustness, perceptual quality, and implementation complexity. The findings suggest that the choice between the two methods depends on specific application requirements. LSB may be suitable for scenarios prioritizing higher data capacity, while DCT is recommended for applications requiring enhanced robustness and perceptual quality. The abstract concludes by proposing the potential use of a hybrid approach for optimal trade-offs between capacity and security.