Privacy preserving misbehavior detection in IoV using federated machine learning

A Uprety, DB Rawat, J Li - 2021 IEEE 18th annual consumer …, 2021 - ieeexplore.ieee.org
Data falsification attack in Vehicular Ad hoc Networks (VANET) for the Internet of Vehicles
(IoV) is achieved by corrupting the data exchanged between nodes with false information …
被引用次数：91 相关文章

Privacy Preserving Misbehavior Detection in IoV Using Federated Machine Learning

A Uprety, DB Rawat, J Li - 2021 IEEE 18th Annual Consumer …, 2021 - dl.acm.org
Data falsification attack in Vehicular Ad hoc Networks (VANET) for the Internet of Vehicles
(IoV) is achieved by corrupting the data exchanged between nodes with false information …

[引用][C] Privacy Preserving Misbehavior Detection in IoV Using Federated Machine Learning

A Uprety, DB Rawat, J Li - 2021 IEEE 18th Annual Consumer …, 2021 - cir.nii.ac.jp
Privacy Preserving Misbehavior Detection in IoV Using Federated Machine Learning | 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 検索フォームへ移動 …

Privacy Preserving Misbehavior Detection in IoV Using Federated Machine Learning

A Uprety, DB Rawat, J Li - 2021 IEEE 18th Annual Consumer …, 2021 - par.nsf.gov
Data falsification attack in Vehicular Ad hoc Networks (VANET) for the Internet of Vehicles
(IoV) is achieved by corrupting the data exchanged between nodes with false information …
[PDF] researchgate.net

[PDF][PDF] Privacy Preserving Misbehavior Detection in IoV using Federated Machine Learning

A Uprety, DB Rawat, J Li - researchgate.net
Data falsification attack in Vehicular Ad hoc Networks (VANET) for the Internet of Vehicles
(IoV) is achieved by corrupting the data exchanged between nodes with false information …