Accepted Manuscript Adaptive and Online Network Intrusion Detection System using Clustering and Extreme Learning Machines Setareh Roshan, Yoan Miche, Anton Akusok, Amaury Lendasse PII: S0016-0032(17)30299-5 DOI: 10.1016/j.jfranklin.2017.06.006 Reference: FI 3024 To appear in: Journal of the Franklin Institute Received date: 29 September 2016 Revised date: 31 March 2017 Accepted date: 16 June 2017 Please cite this article as: Setareh Roshan, Yoan Miche, Anton Akusok, Amaury Lendasse, Adaptive and Online Network Intrusion Detection System using Clustering and Extreme Learning Machines, Journal of the Franklin Institute (2017), doi: 10.1016/j.jfranklin.2017.06.006 This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.