Unsupervised and incremental learning orchestration for cyber‐physical security-Reference-Cited by-同舟云学术

Unsupervised and incremental learning orchestration for cyber‐physical security

Published:2020-06-03 Issue:7 Volume:31 Page:
ISSN:2161-3915
Container-title:Transactions on Emerging Telecommunications Technologies
language:en
Short-container-title:Trans Emerging Tel Tech

Author:

Reis Lúcio Henrik A.¹,Murillo Piedrahita Andrés²,Rueda Sandra²,Fernandes Natália C.¹^ORCID,Medeiros Dianne S. V.¹^ORCID,Amorim Marcelo Dias³,Mattos Diogo M. F.¹^ORCID

Affiliation:

1. Laboratório MídiaCom ‐ TET/PPGEETUniversidade Federal Fluminense Niterói/RJ Brazil

2. Universidad de los Andes Bogotá Colombia

3. LIP6/CNRSSorbonne Universités Paris France

Funder

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro

Publisher

Wiley

Subject

Electrical and Electronic Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/ett.4011

Reference24 articles.

1. A survey on security control and attack detection for industrial cyber-physical systems

2. Application of the Fog computing paradigm to Smart Factories and cyber-physical systems

3. In quest of benchmarking security risks to cyber-physical systems

4. Privacy and performance trade-off in cyber-physical systems

5. CardenasAA AminS. Secure control: Towards survivable cyber‐physical systems. Paper presented at: Proceedings of the International Conference on Distributed Computing Systems Workshops;2008:495‐500.

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