Aug 26, 2021 · The basic idea is to first estimate the relative speed between the jammer and the receiver, exploiting the RF Doppler shift. We use the ...
Dec 31, 2018 · Wireless communications are vulnerable against radio frequency (RF) jamming which might be caused either intentionally or unintentionally.
Wireless communications are vulnerable against radio frequency (RF) jamming which might be caused either intentionally or unintentionally.
This paper is able to efficiently detect various cases of Denial of Service Attacks (DoS) jamming attacks, differentiate them from cases of interference.
Oct 30, 2023 · This dataset comprises diverse scenarios of RF jamming attacks and interference in Vehicular Ad-hoc Networks (VANETs), along with corresponding ground truth ...
Oct 22, 2024 · In this paper, we introduce a detection scheme that is based on supervised learning. k-Nearest Neighbors (KNN) and Random Forests (RaFo) methods ...
Dec 31, 2018 · Abstract—Wireless communications are vulnerable against radio frequency (RF) jamming which might be caused either.
Jan 1, 2021 · In this paper, we introduce a detection scheme that is based on supervised learning. The k-nearest neighbors (KNN) and random forest (RaFo) ...
Jan 1, 2019 · The proposed method, utilizes a new metric, that is the variations of the relative speed between the jammer and the receiver, along with ...
In this paper, we introduce a detection scheme that is based on supervised learning. e k-nearest neighbors (KNN) and random forest (RaFo) methods are used, ...