Abstract—In network intrusion detection research, one popular strategy for finding attacks is monitoring a network’s activity for anomalies: deviations from profiles of norma...
—This paper presents a methodology and a tool for automatic synthesis of highly efficient intrusion detection systems using a high-level, graph-based partitioning methodology and...
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...
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 ...