Similarity function for intrusion detection
Goravimakalahalli Srinivasareddy Hemanth Kumar, Nimmala Mangathayaru, Ganesh Narasimha · 2019
Similarity measure plays a vital role in classification, clustering and several other techniques related to data mining and machine learning. Detection of intrusions requires comparison of one instance of training input to another instance of testing input. Many times when classifiers are applied on datasets the input instances which occur relatively lesser are not classified by classifier properly. This paper suggests a similarity measure to compare an incoming instance with training instance to identify the relative similarity between them.