Spam Traffic Characterization
Jungyoon Kim, Hyoung-Kee Choi · ITC-CSCC :International Technical Conference on Circuits Systems, Computers and Communications · 2008
In recent years, email traffic has increased in the Internet. However, as the usage of emails has increased dramatically, the amount of spam traffic has increased tremendously too. There are many filters for spam detection and prevention, but most of them are not sufficiently efficient or accurate for use in practical filtering systems. To enhance the efficiency and accuracy of spam filtering, we first need to characterize and analyze the spam traffic. To accomplish this, we first collected spam traffic by capturing the email traffic on the backbone network of Sungkyunkwan University over a period of 24 hours and then classifying it into several categories using various approach levels in order to discover the characteristics and patterns within it. This study forms the basis for research into efficient and accurate spam filtering techniques.