Trends in steganography¶

Classical methods (LSB substitution, DCT coefficient tweaking) are baseline comparisons rather than current practice. The field has moved toward neural and generative approaches that change what detection even means.

• Embedding is now learned, not hand-crafted

• Generation has replaced modification in the most advanced systems

• Steganalysis and embedding are both AI-driven, and locked in an arms race

• Covert channels have expanded beyond images to video, audio, network traffic, and language