Hybrid Anomaly Detection Model on Trusted IoT Devices-Reference-Cited by-同舟云学术

Hybrid Anomaly Detection Model on Trusted IoT Devices

Author:

Rosero-Montalvo Paul D.¹^ORCID,István Zsolt²,Tözün Pınar¹^ORCID,Hernandez Wilmar³^ORCID

Affiliation:

1. Computer Science Department, IT University of Copenhagen, Copenhagen, Denmark

2. Computer Science Department, Technical University of Darmstadt, Darmstadt, Germany

3. Facultad de Ingenieria y Ciencias Aplicadas, Universidad de Las Americas, Quito, Ecuador

Funder

Novo Nordisk Fonden

Corporacion Ecuatoriana para el Desarrollo de la Investigacion y la Academia (CEDIA), Ecuador

Universidad de Las Americas (UDLA), Quito, Ecuador

LOEWE Initiative (Hesse, Germany) within the emergenCITY Center

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Computer Science Applications,Hardware and Architecture,Information Systems,Signal Processing

Link

Reference49 articles.

2. Detailed comparison of communication efficiency of split learning and federated learning;singh;arXiv 1909 09145,2019

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