Data Hiding in Bit-plane Medical Image Using Chaos-based Steganography
Ta Thi Kim Hue, Nguyễn Thùy Linh, Minh Nguyen-Duc, Thang Manh Hoang · 2021
This paper proposes digital medical image steganographic schemes based on chaotic maps. Logistic and Cat maps are applied to choose positions of the embedded bits in cover images where the bits of the secret message will be hidden. Our schemes provide mutual substitution methods in a chaotic manner in order to choose pseudo-random positions. Three spatial steganographic algorithms are respectively called ISLM, ISCM and ISLCM using insertion methodology that provides a large embedding capacity and imperceptible steganographic image. The combination of a Logistic map and a Cat map is appropriate for the inserted message becoming secure against message recovery attacks. Those are efficient schemes with a high level of security requirements.