AI-based abnormality detection at the PHY-layer of cognitive radio by learning generative models
Introducing a data-driven Self-Awareness (SA) module in Cognitive Radio (CR) can support
the system to establish secure networks against various attacks from malicious users. Such …
the system to establish secure networks against various attacks from malicious users. Such …
[引用][C] AI-Based Abnormality Detection at the PHY-Layer of Cognitive Radio by Learning Generative Models
A Toma, MF Ali Krayani, H Qi, L Marcenaro… - IEEE Transactions on …, 2020 - cir.nii.ac.jp
AI-Based Abnormality Detection at the PHY-Layer of Cognitive Radio by Learning Generative
Models | CiNii Research CiNii 国立情報学研究所 学術情報ナビゲータ[サイニィ] 詳細へ移動 検索 …
Models | CiNii Research CiNii 国立情報学研究所 学術情報ナビゲータ[サイニィ] 詳細へ移動 検索 …
AI-Based Abnormality Detection at the PHY-Layer of Cognitive Radio by Learning Generative Models
A Toma, A Krayani, M Farrukh, H Qi… - IEEE TRANSACTIONS …, 2020 - air.uniud.it
Introducing a data-driven Self-Awareness (SA) module in Cognitive Radio (CR) can support
the system to establish secure networks against various attacks from malicious users. Such …
the system to establish secure networks against various attacks from malicious users. Such …
[PDF][PDF] AI-based Abnormality Detection at the PHY-layer of Cognitive Radio by Learning Generative Models
A Toma, A Krayani, M Farrukh, H Qi, L Marcenaro… - researchgate.net
Introducing a data-driven Self-Awareness (SA) module in Cognitive Radio (CR) can support
the system to establish secure networks against various attacks from malicious users. Such …
the system to establish secure networks against various attacks from malicious users. Such …