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SP
2010
IEEE
187views Security Privacy» more  SP 2010»
15 years 9 months ago
Outside the Closed World: On Using Machine Learning for Network Intrusion Detection
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...
Robin Sommer, Vern Paxson
FPL
2004
Springer
141views Hardware» more  FPL 2004»
15 years 11 months ago
Automatic Synthesis of Efficient Intrusion Detection Systems on FPGAs
—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...
Zachary K. Baker, Viktor K. Prasanna
WEBI
2005
Springer
15 years 11 months ago
Network-Based Intrusion Detection Using Adaboost Algorithm
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...
Wei Hu, Weiming Hu
ICNC
2005
Springer
15 years 11 months ago
Applying Genetic Programming to Evolve Learned Rules for Network Anomaly Detection
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 ...