A Content based Spam Filtering Using Optical Back Propagation Technique
Sarab M. Hameed, Noor Alhuda, J. Mohammed · 2013
Spam is email sent in bulk where there is no direct agreement in place between the recipient and the sender to receive email solicitation. To prevent the delivery of this spam, an automated tool named a spam filter is used. In this paper, (OBP) “Optical Back Propagation” technique is used as an automated tool to identify whether a message is spam or not based on the content of the message. Spam-based dataset-a dataset from UCI “University of California, Irvine” machine learning repository, is used as training and testing dataset to train the network and then tested it. The samples of this dataset should be firstly preprocessed (normalization or feature selection before normalization) to be suitable to the network. The results OBP spam filtering is reasonable in term of accuracy, precision, recall, false Positive, false negative, and speed of the net.