Flow-based features for a robust intrusion detection system targeting mobile traffic

摘要: The security risks and threats that impact wired wireless networks are now applicable to mobile telecommunication networks. Threat detection systems should be more intelligent because becoming dangerous. An intrusion system (IDS) is a potential network solution for protecting the confidentiality, integrity, availability of user data information resources. A fast effective IDS does not violate user's privacy or network's QoS required. This paper offers set flow-based features can utilized traffic as prerequisite privacy-aware QoS-robust IDS. principal component analysis (PCA) method was used reduction features. Twelve in six groups, which represent traffic, were extracted evaluated IDSs. evaluation process achieved F-measure weighted average equal 0.834, experimental time 12.9 seconds. accomplished measurements have demonstrated applicability proposed