Malicious Node Detection in Vehicular Ad-Hoc Network Using Machine Learning and Deep Learning.
Elvin EziamaKemal TepeAli BaladorKenneth Sorle NwizegeLuz Marina Santos JaimesPublished in: GLOBECOM Workshops (2018)
Keyphrases
- deep learning
- machine learning
- vehicular ad hoc networks
- unsupervised learning
- unsupervised feature learning
- object detection
- mental models
- weakly supervised
- deep belief networks
- restricted boltzmann machine
- data analysis
- natural language processing
- decision trees
- pattern recognition
- object recognition
- computer vision
- information retrieval
- deep architectures
- data mining