Splicing is the most universal image tampering operation, detection of which is effective for identifying image tamper. A blind splicing detection method was proposed. The method firstly analyzed the effects of different sub-bands on image splicing detection according to features of wavelet transform. High frequency sub-band was verified to be more appropriate for splicing detection both from theory analysis and experiment results. Secondly, the method conducted difference operation, rounded and made threshold to the coefficients as discrete Markov states, and calculated the state transition probabilities as splicing features. Finally, Support Vector Machine (SVM) was used as classifier, and the features were tested on Columbia image splicing detection evaluation datasets. The experimental results show that the proposed method performs better compared with other features and achieves a detection accuracy rate of 94.6% on the color dataset specially.
This paper first showed respective characteristics of typical database application systems and introduced the theory of sniffer technology.It put forward a new method of analyzing data transfer security numerically with sniffer technology.Then it told how to make an experiment with this method and showed results of the experiment by using this method. At last,the paper emphasized the advantage of using this method to analyze data transfer security of database application system.