Survey Paper of Network Intrusion Detection based on Machine Learning Algorithm
Keywords:
IDS, Imbalance, Machine LearningAbstract
These days, intrusion detection system (IDS) is the most arising pattern in our general public. This basically screen network traffic and will alarm the organization chairman of any unordinary action. IDS System work by one or the other searching for marks of known assaults or deviations of typical movement. While there are a few detriments of IDS, for example, low recognition rate and high bogus caution rate. Intrusion detection is the process of analyzing the network packets to identify if the packet is legitimate or anomalous. The major challenges involved in this domain includes the huge volume of data for training and the fast and streaming data that is to be provided for the prediction process. Further, the intrinsic data imbalance contained in the domain presents more challenges to the intrusion detection model.
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