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SP
2010
IEEE
187views Security Privacy» more  SP 2010»
14 years 1 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»
14 years 3 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
14 years 3 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
14 years 3 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 ...