Extreme learning machines for intrusion detection

• Main Authors: Cheng, Chi, Tay, Wee Peng, Huang, Guang-Bin
• Other Authors: School of Electrical and Electronic Engineering
• Format: Conference or Workshop Item
• Language: English
• Published: 2013
• Subjects: DRNTU::Engineering::Electrical and electronic engineering
• Online Access: https://hdl.handle.net/10356/98310; http://hdl.handle.net/10220/12417
• Institution: Nanyang Technological University

We consider the problem of intrusion detection in a computer network, and investigate the use of extreme learning machines (ELMs) to classify and detect the intrusions. With increasing connectivity between networks, the risk of information systems to external attacks or intrusions has increased trem...