Work

Adaptive learning-based hybrid recommender system for deception in Internet of Thing

Year: 2024

Type: article

Source: Computer Networks

DOI: 10.1016/j.comnet.2024.110853

Authors: Volviane Saphir Mfogo, Alain Zemkoho, Laurent Njilla, Marcellin Nkenlifack, Charles Kamhoua

Institutions: Université de Dschang, University of Southampton, United States Air Force Research Laboratory, Rome Laboratory, DEVCOM Army Research Laboratory, United States Army Combat Capabilities Development Command, United States Army

Language: English

Topic: Network Security and Intrusion Detection

Subfield: Computer Networks and Communications

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

Funders: Alan Turing Institute, U.S. Army, Engineering and Physical Sciences Research Council, Army Research Office, Life Sciences Division, Army Research Office

Awards: Approximation theory for two-level value functions with applications, G323636322, The Alan Turing Institute, G4902763196, G6622908425, G6760021811, G8303412567

OpenAlex ID: W4403329794

FWCI: 0.505

Cites: 34

Cited by: 3

Related to: 10