Network user identification based feature weighting naive Bayesian classification algorithm
Lei Liu, Xingshu Chen, Xueyuan Yin, Duan Yang Yi, Lue Ping Zhao · Journal of Computer Applications · 2011
Based on the access logs of network users,Feature Weighting Naive Bayesian Classification(FWNBC) algorithm was used to identify users.Firstly,the data acquisition system based on WinPcap framework was used to collect the access logs of network users,features were counted from five aspects by analyzing these access logs,and then selected after filtering,at last the FWNBC algorithm was used to identify the 3 300 samples,and the recognition rate reached 85.73%.The experimental results show that this algorithm is effective to identify the network users.