Work

Prepare for trouble and make it double! Supervised – Unsupervised stacking for anomaly-based intrusion detection

Year: 2021

Type: article

Source: Journal of Network and Computer Applications

DOI: 10.1016/j.jnca.2021.103106

Authors: Tommaso Zoppi, Andrea Ceccarelli

Institution: University of Florence

Language: English

Topic: Network Security and Intrusion Detection

Subfield: Computer Networks and Communications

Field: Computer Science

Domain: Physical Sciences

Open Access status: bronze

Funders: Regione Toscana, Horizon 2020 Framework Programme, H2020 Marie Skłodowska-Curie Actions

Award: Addressing Verification and Validation Challenges in Future Cyber-Physical Systems

OpenAlex ID: W3171239643

FWCI: 2.676

Cites: 104

Cited by: 30

Related to: 10