Online Self-Supervised Deep Learning for Intrusion Detection Systems

arXiv:2306.13030v2 Announce Type: replace
Abstract: This paper proposes a novel Self-Supervised Intrusion Detection (SSID) framework, which enables a fully online Deep Learning (DL) based Intrusion Detection System (IDS) that requires no human intervention or prior off-line learning. The proposed framework analyzes and labels incoming traffic packets based only on the decisions of the IDS itself using an Auto-Associative Deep Random Neural Network, and on an online estimate of its statistically measured trustworthiness. The SSID framework enables IDS to adapt rapidly …

arxiv cs.cr cs.lg cs.ni deep learning detection framework human ids intrusion intrusion detection intrusion detection system intrusion detection systems line novel packets ssid system systems traffic