An Anti-spam Filtering System Based on the Naive Bayesian Classifier and Distributed Checksum Clearinghouse

In the context of anti-spam filtering, we investigated the performance of the Naive Bayesian classifier and Distributed Checksum Clearinghouse. Based on these two methods, we constructed an anti-spam filtering system, which is capable of identifying spam, maintaining normally to deliver and receive e-mails as well. Meanwhile, we performed a thorough evaluation of the system on the benchmark corpus. The experimental results of evaluation reveal that the proposed approach is reliable and efficient, which contributes to reduce the system load and enhance the comprehensive properties.