Leveraging Siamese Networks for One-Shot Intrusion Detection Model. (arXiv:2006.15343v3 [cs.CR] UPDATED)

The use of supervised Machine Learning (ML) to enhance Intrusion Detection
Systems has been the subject of significant research. Supervised ML is based
upon learning by example, demanding significant volumes of representative
instances for effective training and the need to re-train the model for every
unseen cyber-attack class. However, retraining the models in-situ renders the
network susceptible to attacks owing to the time-window required to acquire a
sufficient volume of data. Although anomaly detection systems provide a
coarse-grained defence against …

detection intrusion intrusion detection networks