![]() ![]() This work proposes a method for improving the crypto-stego method by utilizing the proposed dictionary method to modified ciphertext. Hybridization of the cryptography with steganography can provide more security by taking advantage of each technique. As a result of the experiments, it was determined that the method exceeded the state-of-the-art performance and was more resistant to steganalysis.Ĭryptography steganography is a practical tool for data security. The proposed method was evaluated from the perspectives of information embedding efficiency, information imperceptibility and hidden information capacity. ![]() The character-level model is created as a result of using the encoder–decoder architecture together with bidirectional LSTM and Bahdanau attention. In text generation based on character level, a new secret information embedding algorithm is created by combining the LZW compression algorithm with the Char Index (LZW-Char Index Encoding) method. In this part of the study, bidirectional LSTM architecture with attention mechanism was created as language model. Arithmetic coding, perfect tree and Huffman coding methods were used as secret information embedding methods in text generation based on word level. In this study, the text generation based on the information that is wanted to be hidden without a carrier text, both at word and character level, was performed. Realizing that methods such as word-line shifting, usage of spaces, replacement of the word with its synonym are fragile against steganalysis, led to new searches and it was determined that deep learning models were more resistant to detecting the presence of hidden words. With the effect of digitalization, the transfer of all text documents over the Internet rather than human transmission has increased, and this situation has revealed the idea that text documents can be used as a carrier that can safely store information. ![]()
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