Operating System Recognition based on Singular Value Decomposition and DAG_SVMS
Cheng Shu-ba · Information Security and Communications Privacy · 2013
To improve the approach of unknown fingerprint-corresponding operating system,this paper presents a classification method based on SVD(singular value decomposition) and DAG(directed acyclic graph). Firstly,the matrix generated by the operating system fingerprint is converted into the singular value feature. Then Multi-class classification generated by DAG_SVMS is used to judge the unknown fingerprint. Finally the method in the Nmap fingerprint database is verified. The experimental results indicate that this method can effectively reduce the vector dimension and has fairly high recognition rate of the unknown fingerprint.