CBR - Boosting Adaptive Classification By Retrieval of Encrypted Network Traffic with Out-of-distribution

arXiv:2403.11206v1 Announce Type: cross
Abstract: Encrypted network traffic Classification tackles the problem from different approaches and with different goals. One of the common approaches is using Machine learning or Deep Learning-based solutions on a fixed number of classes, leading to misclassification when an unknown class is given as input. One of the solutions for handling unknown classes is to retrain the model, however, retraining models every time they become obsolete is both resource and time-consuming. Therefore, there is a growing …

arxiv class classification cs.cr cs.lg cs.ni deep learning distribution encrypted goals machine machine learning network network traffic problem solutions traffic traffic classification