ADASYN-Random Forest Based Intrusion Detection Model. (arXiv:2105.04301v4 [cs.CR] UPDATED)

Intrusion detection has been a key topic in the field of cyber security, and
the common network threats nowadays have the characteristics of varieties and
variation. Considering the serious imbalance of intrusion detection datasets
will result in low classification performance on attack behaviors of small
sample size and difficulty to detect network attacks accurately and
efficiently, using Adaptive Synthetic Sampling (ADASYN) method to balance
datasets was proposed in this paper. In addition, Random Forest algorithm was
used to train intrusion …

detection intrusion intrusion detection