Summary
International Symposium on Nonlinear Theory and its Applications
2017
Session Number:A2L-C
Session:
Number:A2L-C-2
Fast Construction of an Updating System for Intrusion Detection Using a Multi-Layer Extreme Learning Machine
Daichi Noguchi, Masaharu Adachi,
pp.144-147
Publication Date:2017/12/4
Online ISSN:2188-5079
Summary:
Fast construction for an intrusion detection system (IDS) enables rapid detection of, and response to, intrusions into a network. Using deep neural networks is expected to give a high detection rate for an IDS (S.Poluluri, et al., EFTA2016, pp.1-8). However, this requires time-consuming iterative computation. To address this, we propose a method for fast construction of an IDS using a multi-layer Extreme Learning Machine based on Auto Encoder.