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ADVENT: Attack/Anomaly Detection in VANETs
In the domain of Vehicular Ad hoc Networks (VANETs), where the imperative of having a real-world malicious detector capable of detecting attacks in real-time and unveiling their perpetrators is crucial, our study introduces a system with this goal.
A Boosting Approach to Constructing an Ensemble Stack
An approach to evolutionary ensemble learning for classification is proposed in which boosting is used to construct a stack of programs.
Classification of Micro-Texts Using Sub-Word Embeddings
Our system uses a Multi-Layer Perceptron to utilize these features from tweets to analyze short text messages.
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