this research tries to employ a set of all synonyms as a way to hide secret message inside a natural language text. In this paper, English language will be used as an instance of natural languages as we will be concerned with the set of all natural language texts. In linguistic steganography, digital numbers like (0010100101001) data is to be encoded to innocuous natural language text by using synonym. in a text in such a way without making the text suspicious, so we have to take into our account possible characteristics of natural languages. Linguistic steganography is basically hiding information. Each method has its own algorithm to embedding secret information inside the media "cover". There are several methods of steganography, these include: Image steganography, Audio steganography, Video steganography and Linguistic steganography which use the cover to hide information. Read moreĪ literally meaning of Steganography is "covered writing". Furthermore, our method shows the positive results to resist against the visual attacks. Therefore, it confirms that our proposed scheme provides higher hiding capacity Of hiding capacity is 1.29 bpp (bits per pixel). In this paper, a steganography scheme based on Lin et al.’s scheme is explored.Įxperimental results show that the proposed scheme can improve the visual quality of stego-images. Schemes, but also resist against steganalysis. Lin et al.’s scheme not only improved the performances of traditional LSB-based steganography Unfortunately, it is insecureīecause it cannot resist against the visual attacks and statistic detection. LSB replacement, the simplest method, directly replaces the secret bits with LSB bit plane. Steganography is a skill to convey the secret data in the digital images without getting any unexpected notices to attackers. Emily's medicine wasn't strong enough without another febrifuge. Introduction Consider the following example from (LIN, Kuang Tsan, 2011) where Jane sends an email to her friend Kevin saying: I'm feeling really stuffy. Index Terms – Digital image steganography, Yet Another Steganographic Scheme (YASS), variable cell-size schemes I. The motivation behind this research is to investigate the extent to which more aggressive embedding in various coeffi-cients can be offset by error-correcting codes to produce an overall increase in delivered payload. While this scheme is highly secure, it has not improved the low embedding capacity. YASS has been further extended to a variable cell-size scheme aimed at increasing. Yet Another Steganographic Scheme (YASS) emerged as a secure JPEG-based scheme, at the cost of lower embedding capacity. View full-textĭigital image steganography is the art of hiding secret information in innocent-looking cover images so that no-one except the intended recipient is aware that secret communication is occurring. Experimental results show that the proposed compression algorithm achieves better compression ratios than Huffman and LZW coding algorithms leading to higher embedding efficiency, and our steganography performs well in anti-steganalysis capability with compression and the stego text selection rule. Only one stego text is selected by a given rule derived from the distance between a cover text and its stego text. To improve the anti-steganalysis capability, ten cover texts with small compression ratios are selected from a huge cover text set, and are embedded the corresponding compressed secret message by using synonym substitutions. WIC algorithm losslessly compresses the secret message by combining a minimum maximum weight algorithm with Huffman coding under the help of the candidate cover text. The length of the practical embedded payload can be reduced by the proposed word indexing compression algorithm(WIC), while a best stego text with high undetectability can be selected from candidates by the stego text selection. In this paper, a novel linguistic steganography with high imperceptibility and undetectability is proposed via secret message compression and candidate text selection.
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