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In this paper, we propose a simple centroid based classification model to effectively classify the packets sent by masqueraders among all the packets received ...
Abstract—Effective location distinction can help to detect the replication attack towards wireless stations. Instantaneous signal.
This paper suggests a new Centroid based approach for Categorization for BSN data. We further introduce a new algorithm through centroid based approach for ...
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Jun 30, 2024 · Various hybrid machine learning techniques were developed for IDS. The centroid-based classification method is a particular hybrid learning ...
Abstract—Perimeter distinction in a wireless network is the ability to distinguish locations belonging to different perimeters.
Dec 1, 2020 · to the target, the centroid of the grid points is the calculated location. Otherwise, the algorithm chooses the two closest grid points and ...
Abstract. Location-awareness is highly relevant subject in ubiquitous computing, as many applications exploit location information to pro-.
This paper proposes using a measured temporal link signature to uniquely identify the link between a transmitter and a receiver and demonstrates that this ...
Jun 29, 2021 · Our proposed CenDE-DOBL algorithm for MLNN training is based on a combination of a centroid-based strategy and a dynamic opposition-based ...
Aug 21, 2020 · The method is evaluated using two prediction approaches: coordinates of the majority RP and coordinates of the centroid of the RPs.
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