Most data mining algorithms assume static behavior of the incoming data. In the real world, the situation is different and most continuously collected data streams are generated by...
Lior Cohen, Gil Avrahami, Mark Last, Abraham Kande...
Today's Internet intrusion detection systems (IDSes) monitor edge networks' DMZs to identify and/or filter malicious flows. While an IDS helps protect the hosts on its l...
Digital investigators have an increasing need to examine data network logs and traffic, either as part of criminal or civil investigations or when responding to information securi...
The paper discusses our research in development of general and systematic methods for intrusion prevention. The key idea is to use data mining techniques to discover repeated patt...
Current information protection systems only detect and warn against individual intrusion, and are not able to provide a collective and synthesized alert message. In this paper, we ...
Keun-Hee Han, Il-Gon Kim, Kang-Won Lee, Ji-Yeon Ch...