Network-Based Intrusion Detection Using Adaboost Algorithm

12 years 8 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-based intrusion detection system using Adaboost, a prevailing machine learning algorithm. The experiments demonstrate that our system can achieve an especially low false positive rate while keeping a preferable detection rate, and its computational complexity is extremely low, which is a very attractive property in practice. KEY WORDS Intrusion detection, Network-based IDS, AdaBoost, Computational complexity
Wei Hu, Weiming Hu
Added 28 Jun 2010
Updated 28 Jun 2010
Type Conference
Year 2005
Where WEBI
Authors Wei Hu, Weiming Hu
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