The proliferation of complex and fast-spreading intrusions not only requires advances in intrusion detection mechanisms but also demands development of sophisticated and automated...
The DARPA/MIT Lincoln Laboratory off-line intrusion detection evaluation data set is the most widely used public benchmark for testing intrusion detection systems. But the presence...
Chuanhuan Yin, Shengfeng Tian, Houkuan Huang, Jun ...
Abstract--Intrusion detection remains an important and challenging task in current and next generation networks (NGN). Emerging technologies such as multi-core processors and virtu...
Intrusion detection on the internet is a heated research field in computer science, where much work has been done during the past two decades. In this paper, we build a network-b...
Network intrusion detection has been generally dealt with using sophisticated software and statistical analysis, although sometimes it has to be done by administrators, either by d...
Lei Qi, Miguel Vargas Martin, Bill Kapralos, Mark ...