Generative Adversarial Network Models for Anomaly Detection in Software-Defined Networks

Zacaron, Alexandro Marcelo; Lent, Daniel Matheus Brandão; da Silva Ruffo, Vitor Gabriel; Carvalho, Luiz Fernando; Proença, Mario Lemes

doi:10.1007/s10922-024-09867-z

J Netw Syst Manage

2024

DOI: 10.1007/s10922-024-09867-z

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Generative Adversarial Network Models for Anomaly Detection in Software-Defined Networks

Alexandro Marcelo Zacaron,

Daniel Matheus Brandão Lent,

Vitor Gabriel da Silva Ruffo

et al.

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Cited by 1 publication

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A Comprehensive Survey on Generative AI Solutions in IoT Security

López Delgado,

López Ramos

2024

Electronics

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The influence of Artificial Intelligence in our society is becoming important due to the possibility of carrying out analysis of the large amount of data that the increasing number of interconnected devices capture and send as well as making autonomous and instant decisions from the information that machines are now able to extract, saving time and efforts in some determined tasks, specially in the cyberspace. One of the key issues concerns security of this cyberspace that is controlled by machines, so the system can run properly. A particular situation, given the heterogeneous and special nature of the environment, is the case of IoT. The limited resources of some components in such a network and the distributed nature of the topology make these types of environments vulnerable to many different attacks and information leakages. The capability of Generative Artificial Intelligence to generate contents and to autonomously learn and predict situations can be very useful for making decisions automatically and instantly, significantly enhancing the security of IoT systems. Our aim in this work is to provide an overview of Generative Artificial Intelligence-based existing solutions for the very diverse set of security issues in IoT environments and to try to anticipate future research lines in the field to delve deeper.

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A Comprehensive Survey on Generative AI Solutions in IoT Security

López Delgado,

López Ramos

2024

Electronics

View full text Add to dashboard Cite

show abstract

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Generative Adversarial Network Models for Anomaly Detection in Software-Defined Networks

Cited by 1 publication

References 52 publications

A Comprehensive Survey on Generative AI Solutions in IoT Security

A Comprehensive Survey on Generative AI Solutions in IoT Security

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