Analyzing Intrusion Detection Using Machine Learning Adaboost Algorithm: An Observations Study
Suhail Kazi, P.R. Deshmukh · 2013
The current approaches for intrusion detection have some problems that adversely affect the effectiveness of the Intrusion Detection System. Current approaches often suffer from relatively high falsealarm rates. As most network behaviors are normal, resources are wasted on checking a large number of alarms that turn out to be false. Secondly their computational complexities are oppressively high. The adaboost algorithm gives better results for intrusion detection in this respect. The paper here mainly has its focus on these results.