Unknown operating system type recognition method based on RIPPER algorithm

The invention provides an unknown operating system type recognition method based on an RIPPER algorithm. The method comprises the steps of (1) collection of the data set; (2) fingerprint data processing; (3) feature preprocessing of the fingerprint; (4) learning and training of the RIPPER model; (5) and unknown operating system recognition and verification. According to the recognition method, theproblems of reduction of the accuracy and the rate of operating system fingerprint recognition caused by increasing of modeling time and reduction of classifier efficiency because of high fingerprintdata dimension after vectorization in unknown fingerprint recognition of SVM if there are manual features in the fingerprint database can be overcome, and the problems of reduction of the efficiencyof the unknown operating system recognition caused by the fact that establishing of the decision tree depends on tree formation in unknown fingerprint recognition and the establishing process of the tree is the process of recur