5F-03
Collecting useful features for zero-day malicious emails detection.
○サヌパーブ ポムケオナ,岡村耕二(九大)
Email is very useful and it is one of a basic element for internet users. On the other hand, a bad-used of emails also occurred everywhere. In the first quarter of 2018, about half of email traffic are spam mail and phishing email is also a popular used for an entry point of targeted attack by cyber villains. In this paper we extract and collecting useful features from email’s header and body. We also create an email’s subject database in 4 types of different languages to detect machine-translated phases that is one technique of modern malicious spam. We aim to use the features on machine learning to increase an accuracy of zero-day malicious email detection.

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