Name
Abstract | ||
|---|---|---|
Text steganography is hiding text in text. A hidden text gets hidden in a cover text to produce a plain looking stego text. This plain looking stego text is posted as the message which no one suspects to contain anything concealed. Today, text messages are a common mode of communication over the internet and it is associated with a huge amount of traffic. Steganography is an added layer of protection that can be used for security and privacy. In this paper, we describe a text steganography approach that provides a good capacity and maintains a high difficulty of decryption. We make use of approaches of space manipulation, linguistic translation and Unicode homoglyphs in our algorithm. Our implementation is in Python. Also, we explain a parallel approach for hiding large hidden text messages in large cover text messages. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1007/978-3-319-22915-7_26 | Communications in Computer and Information Science |
Keywords | Field | DocType |
Steganography,Information hiding,Text steganography | Hidden text,Steganography,Binary Ordered Compression for Unicode,Computer science,Information hiding,Speech recognition,Text steganography,Natural language processing,Artificial intelligence,Unicode,Python (programming language),The Internet | Conference |
Volume | ISSN | Citations |
536 | 1865-0929 | 2 |
PageRank | References | Authors |
0.41 | 1 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sachin Hosmani | 1 | 2 | 0.41 |
| Rama B. Bhat | 2 | 4 | 2.76 |
| K. Chandrasekaran | 3 | 42 | 12.16 |