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In this paper, the authors have addressed the dual problem of Accuracy and Efficiency for building robust and efficient intrusion detection systems. Their experimental results show that CRFs are very effective in improving the attack detection rate and decreasing the FAR. Having a low FAR is very important for any intrusion detection system. Further, feature selection and implementing the Layered Approach significantly reduce the time required to train and test the model. Even though they used a relational data set for their experiments.
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