E-posta, spam ve kötü yazılım tespiti derin öğrenme ve anomali kullanarak e-postalar algılama filtreleri

Spam is an unsolicited electronic message, sent massively to a large number of recipients, for advertising or malicious purposes. The term spam is also used to designate the same type of message transmitted by other means of electronic communication such as instant messaging, blogs, forums, and more recently, mobile telephone networks, via SMS or MMS. Even if the means of communication is different, the techniques of sending and detection remain relatively similar In this thesis we propose the use of two different filter methods for spam and phishing detection and then comparing the accuracies of these detection methods with other methods such as decision tree and ANN, these filters work on learning from data also called (machine learning,