Fuzzy relative entropy is capable of measuring the difference between two fuzzy sets.According to the indeterminacy of steganography communication

a fuzzy empirical matrix for

n

-th order Markov model is defined.New security measures in terms of fuzzy relative entropy and weighted fuzzy relative entropy are introduced for steganographic system.These new security measures are proved to be nonnegative

symmetric and uniform.Furthermore

some existing security measures under a deterministic data statistical distribution model can be derived from the proposed security measures.Simulation results show the new security measures have better evaluating ability than the existing deterministic security measures under the same modeling condition.I

n addition

the higher the order of the Markov model

the better the measuring ability of the proposed security measures.The proposed security measures may also provide more insights for designs of secure steganographic algorithms.