Abstract: Mobile Ad-hoc network (MANET) has become an important technology in recent years and the corresponding security problems is getting more and more attention．This paper proposed a performance analysis model and an integrated evaluation index for intrusion detection based on machine learning algorithms．The experiment simulated three typical anomalous behaviors (Black hole,Flooding and Packet drop) and compared seven well-known machine learning algorithms in detail．The analysis results show that the proposed model could give a well expression to the performance of each algorithm．In particular,MultiLayer Perceptron,Logistic Regression and Support Vector Machine give the best performance and the Logistic Regression and Support Vector Machine also spend very little time to train the classification model.

Key words: MANET,Intrusion detection,Machine learning algorithms,Performance analysis