| Title |
Survey on Network Intrusion Detection |
| Authors |
김동훈(Dong-Hoon Kim) ; 손인수(Insoo Sohn) |
| DOI |
https://doi.org/10.5573/ieie.2019.56.8.3 |
| Keywords |
Intrusion detection system; Data mining; Machine learning |
| Abstract |
Recently, The amount of information increases as ICT develop and then Cracking more increases. For this reason, Intrusion Detection System that many kinds of Attacks are detected is needed. Intrusion Detection System is composed of two things. One is Misuse Detection that comprises system by fixed rule(Pattern) and the other is Anomaly Detection that differentiate the new Pattern of data by learning behavior type. There are many papers that studies Machine Learning based-on IDS that uses Anomaly Detection. In this paper, we analyze related papers that include Intrusion Detection Technology and Machine Learning based-on IDS. Using SVM, NN, DT, we create IDS and analyze the relationship between Detection Model and Performance measurement. and we suggest the way of research about Machine-Learning based-on IDS. |