Work

IEEE 802.11 Network Anomaly Detection and Attack Classification: A Deep Learning Approach

Year: 2017

Type: conference-paper

Source: IEEE Wireless Communications and Networking Conference

DOI: 10.1109/wcnc.2017.7925567

Author: Vrizlynn L. L. Thing

Institutions: Agency for Science, Technology and Research, Institute for Infocomm Research

Language: English

Topic: Network Security and Intrusion Detection

Subfield: Computer Networks and Communications

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

Funders: National Research Foundation Singapore, Defense Advanced Research Projects Agency

OpenAlex ID: W2612398564

FWCI: 14.38

Cites: 13

Cited by: 156

Related to: 10