When installing network intrusion detection systems (NIDSs), operators are faced with a large number of parameters and analysis options for tuning trade-offs between detection accuracy versus resource requirements. In this work we set out to assist this process by understanding and predicting the CPU and memory consumption of such systems.
['Holger Dreger', 'Anja Feldmann', 'Vern Paxson', 'Robin Sommer']
Predicting the resource consumption of network intrusion detection systems