| Autor: |
Ivan Nechta |
| Rok vydání: |
2018 |
| Předmět: |
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| Zdroj: |
2018 XIV International Scientific-Technical Conference on Actual Problems of Electronics Instrument Engineering (APEIE). |
| DOI: |
10.1109/apeie.2018.8545230 |
| Popis: |
In this article we present a new method of stegoanalysis revealing the text produced by the synonym runlength encoding steganography. During this research, it was shown that RLE embedding method changes statistical structure of extracted message and this fact could be used for stegoanalysis. In the constructed method we compare the probability distribution of runs (with length no more than 5 bits) in the message extracted from the analyzed container with reference distributions corresponding to empty and filled containers. The Kullback-Leibler measure is used as a divergence measure of two probability distributions. It was shown that the proposed method makes it possible to detect a secret message in the container having 500 synonyms, while the false negative error is 1.5% and the false positive error is 1.3%. In comparison with known analogs, the proposed method has higher accuracy of steganalysis with smaller size of input data. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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