Text Information Hiding Algorithm Against Synonym Subsitution
Chen Jing · Journal of Sichuan University · 2009
To take the use of natural language part of speech tagging in text information hiding research,the order relation and its transformation property were studied.A proper partial relation was defined in the collection of the part of speech tagging firstly,and then a tagging string could be reflected as 0 and 1 by calculating the odd and even characteristic of the inverse order of it.Results showed that the corresponding binary sequence of the casually selected tagging strings had a better self-relation and co-relation property with normalized relation coefficients round 0.55,and it can distinguish various templates.Therefore a new method by using the odd and even characteristic of the inverse order to hide information was proposed.The inverse order was proved to have an odd and even characteristic under the condition of being exchanged,added and deleted.This method is robust against the attacking of synonyms replacement.