Federated Learning for Intrusion Detection in the Critical Infrastructures: Vertically Partitioned Data Use Case

Federated Learning for Intrusion Detection in the Critical Infrastructures: Vertically Partitioned Data Use Case

One of the challenges in the Internet of Things systems is the security of the critical data, for example, data used for intrusion detection. The paper research construction of an intrusion detection system that ensures the confidentiality of critical data at a given level of intrusion detection acc...

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Bibliographic Details
Main Authors: Evgenia Novikova, Elena Doynikova, Sergey Golubev
Format: Article
Language:English
Published: MDPI AG 2022-03-01
Series:Algorithms
Subjects:
intrusion detection
critical infrastructures
confidential data
federated learning
vertically partitioned data
gradient boosting decision trees
Online Access:https://www.mdpi.com/1999-4893/15/4/104

Internet

https://www.mdpi.com/1999-4893/15/4/104

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