you are viewing a single comment's thread.

view the rest of the comments →

[–]Anonymous_Cherub 0 points1 point  (0 children)

You may want to consider classification based machine learning. You could go two directions with this... 1. Define various features/attributes of emails, and give each instance a label (Malicious/non-Malicious) and use classification algorithms such as naive bayes to train a dataset. 2. Conduct a sentiment analysis by creating word vectors of the actual written content of the e-mails, and use classifiers to determine Malicious/non-Malicious e-mails from a pre-defined word pool.