Anti-forensic Steganography Using Multi-bit Minimum Error Replacement with Flexible Bit Location

Multi-bit minimum error replacement (MER) is a method that can embed multi-bit logo/secret data into k least-significant bits (LSBs) of cover data only introduces minimum embedding error (MEE). However, k-LSBs MER suffers from weak anti-forensics. Moreover, it is unfortunate because no literature discusses the formulations and the properties of multi-bit MEE up to this day. Therefore, this work proposes an anti-forensic steganography system using multi-bit MERs with flexible bit location (multi-bit MER_FBL) to overcome the problem of forensics. This work also illustrates the formulations and properties of MEEs in the multi-bit MER_FBL. The embedding error can be easily and determinedly evaluated using the proposed formulations and properties. The proposed multi-bit MER_FBL embeds and hides multi-bit (k-bit, k≥1) logo/secret data into any adjoining (starting with the ith location) k-bit bibi-1 ··· bi-k+1 of cover data only introduces MEE in the range of 0 to ±(2k-1)2i-k; moreover, its flexible bit location enhances the embedded security as security increases as embedding location increases. As the proposed multi-bit MER_FBL can embed multi-bit logo/secret data into any adjoining bits of cover data and has high embedding capacity and high embedding quality, this method was applied for data steganography. Finally, anti-forensics of the proposed steganography system is demonstrated using the statistical attack of Chi-square analysis.

[1]  Chin-Chen Chang,et al.  Both Color and Gray Scale Secret Images Hiding in a Color Image , 2002, Int. J. Pattern Recognit. Artif. Intell..

[2]  Yeuan-Kuen Lee,et al.  High capacity image steganographic model , 2000 .

[3]  Ja-Chen Lin,et al.  Image hiding by optimal LSB substitution and genetic algorithm , 2001, Pattern Recognit..

[4]  Chin-Feng Lee,et al.  A novel data hiding scheme based on modulus function , 2010, J. Syst. Softw..

[5]  Cheng-Hsing Yang,et al.  Anti-Forensics with Steganographic Data Embedding in Digital Images , 2011, IEEE Journal on Selected Areas in Communications.