Web forums are a frequent way of sharing useful information among people. They are becoming the main source of up-to-date information and marketplaces pertaining to different domains, including criminal content and zero-day security exploits. Analyzing the web forums of the existing discussion threads is an alternative method to understand the exploits and fraud modalities a law breaker will most likely make use and how to defend against them. However, in many cases, it is hard to capture all the relevant context of the forums which is needed for classification. In this paper, we introduce a data-driven technique to mine the web forums and provide policy recommendations to the defender. A neural network (NN) is used to learn the set of features for forum classification. Furthermore, we present the evaluation and results from employing our method, with various system configurations, on real-world datasets collected form the web.
IOS Press, Inc.
6751 Tepper Drive
Clifton, VA 20124
Tel.: +1 703 830 6300
Fax: +1 703 830 2300 email@example.com
(Corporate matters and books only) IOS Press c/o Accucoms US, Inc.
For North America Sales and Customer Service
West Point Commons
Lansdale PA 19446
Tel.: +1 866 855 8967
Fax: +1 215 660 5042 firstname.lastname@example.org