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

• Type: Conference
• Year: 2005
• Where: WEBI
• Authors: Wei Hu, Weiming Hu
• Keywords: Internet Technology, Intrusion Detection, Network-based Intrusion Detection, Preferable Detection Rate, WEBI 2005