@inproceedings{4f0b7b01510e404ca8352a9a5a9409d2,
title = "Linguistic steganography detection algorithm using statistical language model",
abstract = "Steganography is a technique for embedding secret messages into carriers. Linguistic steganography is a branch of text steganography. Research on attacking methods against linguistic steganography plays an important role in Information Security (IS) area. In this paper, a linguistic steganography detecting algorithm using Statistical Language Model(SLM) is presented. An experiment to detect text segments generated by linguistec steganography systems NICETEXT, TEXTO and Markov-Chain-Based is carried out. The result of our experiment shows when the text segment size is 2K and 5K, the detecting accuracies are found to be 93.9\% and 96.3\% respectively.",
keywords = "Perplexity, Statistical language model(SLM), Steganalysis, Steganography, Text processing",
author = "Peng Meng and Liusheng Hang and Wei Yang and Zhili Chen and Hu Zheng",
year = "2009",
doi = "10.1109/ITCS.2009.246",
language = "英语",
isbn = "9780769536880",
series = "Proceedings - 2009 International Conference on Information Technology and Computer Science, ITCS 2009",
pages = "540--543",
booktitle = "Proceedings - 2009 International Conference on Information Technology and Computer Science, ITCS 2009",
note = "2009 International Conference on Information Technology and Computer Science, ITCS 2009 ; Conference date: 25-07-2009 Through 26-07-2009",
}