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Tese (Doutorado)
Cooperative intrusion detection for software-defined resource-constrained networks (2021)
Núñez Segura, Gustavo Alonso ; Margi, Cíntia Borges (Orientador) ; Chorti, Arsenia (coorient)
Unidade: EP
Subjects: SENSOR, REDES DE COMPUTADORES, CODIFICAÇÃO DE PROGRAMA, INTERNET DAS COISAS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
NÚÑEZ SEGURA, Gustavo Alonso. Cooperative intrusion detection for software-defined resource-constrained networks. 2021. Tese (Doutorado) – Universidade de São Paulo, São Paulo, 2021. Disponível em: https://www.teses.usp.br/teses/disponiveis/3/3141/tde-22022022-093544/. Acesso em: 13 ago. 2024.
APA
Núñez Segura, G. A. (2021). Cooperative intrusion detection for software-defined resource-constrained networks (Tese (Doutorado). Universidade de São Paulo, São Paulo. Recuperado de https://www.teses.usp.br/teses/disponiveis/3/3141/tde-22022022-093544/
NLM
Núñez Segura GA. Cooperative intrusion detection for software-defined resource-constrained networks [Internet]. 2021 ;[citado 2024 ago. 13 ] Available from: https://www.teses.usp.br/teses/disponiveis/3/3141/tde-22022022-093544/
Vancouver
Núñez Segura GA. Cooperative intrusion detection for software-defined resource-constrained networks [Internet]. 2021 ;[citado 2024 ago. 13 ] Available from: https://www.teses.usp.br/teses/disponiveis/3/3141/tde-22022022-093544/
Artigo de periodico
Challenges and opportunities for data science and machine learning in IoT systems – a timely debate: part 1 (2021)
Helal, Sumi ; Delicato, Flavia Coimbra ; Margi, Cíntia Borges ; Misra, Satyajayant ; Endler, Markus
Source: IEEE Internet of Things Magazine. Unidade: EP
Subjects: INTERNET DAS COISAS, WIRELESS, ARQUITETURA E ORGANIZAÇÃO DE COMPUTADORES, APRENDIZADO COMPUTACIONAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
HELAL, Sumi et al. Challenges and opportunities for data science and machine learning in IoT systems – a timely debate: part 1. IEEE Internet of Things Magazine, v. 4, n. 1, p. 46-52, 2021Tradução . . Disponível em: https://doi.org/10.1109/IOTM.0011.2000002. Acesso em: 13 ago. 2024.
APA
Helal, S., Delicato, F. C., Margi, C. B., Misra, S., & Endler, M. (2021). Challenges and opportunities for data science and machine learning in IoT systems – a timely debate: part 1. IEEE Internet of Things Magazine, 4( 1), 46-52. doi:10.1109/IOTM.0011.2000002
NLM
Helal S, Delicato FC, Margi CB, Misra S, Endler M. Challenges and opportunities for data science and machine learning in IoT systems – a timely debate: part 1 [Internet]. IEEE Internet of Things Magazine. 2021 ; 4( 1): 46-52.[citado 2024 ago. 13 ] Available from: https://doi.org/10.1109/IOTM.0011.2000002
Vancouver
Helal S, Delicato FC, Margi CB, Misra S, Endler M. Challenges and opportunities for data science and machine learning in IoT systems – a timely debate: part 1 [Internet]. IEEE Internet of Things Magazine. 2021 ; 4( 1): 46-52.[citado 2024 ago. 13 ] Available from: https://doi.org/10.1109/IOTM.0011.2000002
Artigo de periodico
Challenges and opportunities for data science and machine learning in IoT systems – a timely debate: part 2 (2021)
Helal, Sumi ; Delicato, Flavia Coimbra ; Margi, Cíntia Borges ; Misra, Satyajayant ; Endler, Markus
Source: IEEE Internet of Things Magazine. Unidade: EP
Subjects: INTERNET DAS COISAS, WIRELESS, ARQUITETURA E ORGANIZAÇÃO DE COMPUTADORES, APRENDIZADO COMPUTACIONAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
HELAL, Sumi et al. Challenges and opportunities for data science and machine learning in IoT systems – a timely debate: part 2. IEEE Internet of Things Magazine, v. 4, n. Ju 2021, p. 46-50, 2021Tradução . . Disponível em: https://doi.org/10.1109/IOTM.0022.2000002. Acesso em: 13 ago. 2024.
APA
Helal, S., Delicato, F. C., Margi, C. B., Misra, S., & Endler, M. (2021). Challenges and opportunities for data science and machine learning in IoT systems – a timely debate: part 2. IEEE Internet of Things Magazine, 4( Ju 2021), 46-50. doi:10.1109/IOTM.0022.2000002
NLM
Helal S, Delicato FC, Margi CB, Misra S, Endler M. Challenges and opportunities for data science and machine learning in IoT systems – a timely debate: part 2 [Internet]. IEEE Internet of Things Magazine. 2021 ; 4( Ju 2021): 46-50.[citado 2024 ago. 13 ] Available from: https://doi.org/10.1109/IOTM.0022.2000002
Vancouver
Helal S, Delicato FC, Margi CB, Misra S, Endler M. Challenges and opportunities for data science and machine learning in IoT systems – a timely debate: part 2 [Internet]. IEEE Internet of Things Magazine. 2021 ; 4( Ju 2021): 46-50.[citado 2024 ago. 13 ] Available from: https://doi.org/10.1109/IOTM.0022.2000002
Artigo de periodico
Centralized energy prediction in wireless sensor networks leveraged by software-defined networking (2021)
Núñez Segura, Gustavo Alonso ; Margi, Cíntia Borges
Source: Energies. Unidade: EP
Subjects: CONSUMO DE ENERGIA ELÉTRICA, REDES DE COMPUTADORES
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
NÚÑEZ SEGURA, Gustavo Alonso e MARGI, Cíntia Borges. Centralized energy prediction in wireless sensor networks leveraged by software-defined networking. Energies, v. 14, n. 17, p. 1-18, 2021Tradução . . Disponível em: https://doi.org/10.3390/en14175379. Acesso em: 13 ago. 2024.
APA
Núñez Segura, G. A., & Margi, C. B. (2021). Centralized energy prediction in wireless sensor networks leveraged by software-defined networking. Energies, 14( 17), 1-18. doi:10.3390/en14175379
NLM
Núñez Segura GA, Margi CB. Centralized energy prediction in wireless sensor networks leveraged by software-defined networking [Internet]. Energies. 2021 ; 14( 17): 1-18.[citado 2024 ago. 13 ] Available from: https://doi.org/10.3390/en14175379
Vancouver
Núñez Segura GA, Margi CB. Centralized energy prediction in wireless sensor networks leveraged by software-defined networking [Internet]. Energies. 2021 ; 14( 17): 1-18.[citado 2024 ago. 13 ] Available from: https://doi.org/10.3390/en14175379
Artigo de periodico
Network metrics detection to support internet of things application orchestration (2021)
Luz, Thamires de Campos ; Margi, Cíntia Borges ; Verdi, Fábio L
Source: Open Journal of Internet of Things (OJIOT) Volume 7, Issue 1, 2021 http://www.ronpub.com/ojiot. Unidade: EP
Subjects: WIRELESS, MÉTRICAS DE SOFTWARE
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
LUZ, Thamires de Campos e MARGI, Cíntia Borges e VERDI, Fábio L. Network metrics detection to support internet of things application orchestration. Open Journal of Internet of Things (OJIOT) Volume 7, Issue 1, 2021 http://www.ronpub.com/ojiot, v. 7, n. 1, p. 93-103, 2021Tradução . . Disponível em: https://www.ronpub.com/OJIOT_2021v7i1n09_Luz.pdf. Acesso em: 13 ago. 2024.
APA
Luz, T. de C., Margi, C. B., & Verdi, F. L. (2021). Network metrics detection to support internet of things application orchestration. Open Journal of Internet of Things (OJIOT) Volume 7, Issue 1, 2021 http://www.ronpub.com/ojiot, 7( 1), 93-103. Recuperado de https://www.ronpub.com/OJIOT_2021v7i1n09_Luz.pdf
NLM
Luz T de C, Margi CB, Verdi FL. Network metrics detection to support internet of things application orchestration [Internet]. Open Journal of Internet of Things (OJIOT) Volume 7, Issue 1, 2021 http://www.ronpub.com/ojiot. 2021 ;7( 1): 93-103.[citado 2024 ago. 13 ] Available from: https://www.ronpub.com/OJIOT_2021v7i1n09_Luz.pdf
Vancouver
Luz T de C, Margi CB, Verdi FL. Network metrics detection to support internet of things application orchestration [Internet]. Open Journal of Internet of Things (OJIOT) Volume 7, Issue 1, 2021 http://www.ronpub.com/ojiot. 2021 ;7( 1): 93-103.[citado 2024 ago. 13 ] Available from: https://www.ronpub.com/OJIOT_2021v7i1n09_Luz.pdf

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