Hybrid spam filtering method based on users' feedback
Yuwei Xu · Journal of Computer Applications · 2013
Several limitations exist in the current spam filtering methods,such as they usually rely on only one type of E-mail characteristic to realize the E-mail classification,and have poor adaptability to the dynamic changes of E-mail characteristics.Concerning these limitations,a hybrid spam filtering method based on users' feedback was proposed.Based on the Social Network(SN) relationship among users,the dynamic update of the knowledge for E-mail classification was achieved with the help of the user's feedback scheme.Furthermore,the Bayesian model was introduced to integrate the content-based and the identity-based characteristics of E-mail in the classification.The simulation results show that the proposed method outperforms the traditional method in terms of E-mail classification,when the E-mail characteristics change dynamically.The overall recall,precision and accuracy ratios of the method can achieve 90% and above.While guaranteeing the performance of E-mail classification,the proposed method can improve the adaptability of classification to the changes of E-mail characteristics effectively.Therefore,the proposed method can act as a useful complement to the current spam filtering methods.