Expectations Versus Reality: Evaluating Intrusion Detection Systems in Practice

arXiv:2403.17458v1 Announce Type: cross
Abstract: Our paper provides empirical comparisons between recent IDSs to provide an objective comparison between them to help users choose the most appropriate solution based on their requirements. Our results show that no one solution is the best, but is dependent on external variables such as the types of attacks, complexity, and network environment in the dataset. For example, BoT_IoT and Stratosphere IoT datasets both capture IoT-related attacks, but the deep neural network performed the best …

abstract arxiv comparison cs.cr cs.lg detection idss paper practice reality requirements results show solution systems them type variables