Abstract
Predicting the botnet's formation before DDoS attacks are launched against a target represents a significant contribution to academia and industry. In addition, it would significantly reduce the expense needed to mitigate an ongoing attack and repair a successful attack. The Post-Doc fellow involved in this project will work on correlating heterogeneous sources useful in predicting the fo…