Work

Evaluation of Machine Learning Algorithms for Anomaly Detection in Industrial Networks

Year: 2019

Type: conference-paper

Source: IEEE International Symposium on Measurements & Networking (M&N)

DOI: 10.1109/iwmn.2019.8805036

Authors: Giuseppe Bernieri, Mauro Conti, Federico Turrin

Institution: University of Padua

Language: English

Topic: Network Security and Intrusion Detection

Subfield: Computer Networks and Communications

Field: Computer Science

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: closed

Funder: European Commission

OpenAlex ID: W2969402780

FWCI: 3.561

Cites: 29

Cited by: 40

Related to: 10