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Found 6 papers, 0 papers with code
The Study and Optimization Of Production/Fermentation Processes In Biofuel Production
Python and WEKA have been used extensively in building principal component analysis reviews for the purpose of this project while MATLAB has been used for building the FIS models.
Implementing Edge Based Object Detection For Microplastic Debris
Plastic has imbibed itself as an indispensable part of our day to day activities, becoming a source of problems due to its non-biodegradable nature and cheaper production prices.
Classification and Explanation of Distributed Denial-of-Service (DDoS) Attack Detection using Machine Learning and Shapley Additive Explanation (SHAP) Methods
In this context, we proposed a framework that can not only classify legitimate traffic and malicious traffic of DDoS attacks but also use SHAP to explain the decision-making of the classifier model.
IGRF-RFE: A Hybrid Feature Selection Method for MLP-based Network Intrusion Detection on UNSW-NB15 Dataset
Then, we apply recursive feature elimination(RFE) as a wrapper feature selection method to further eliminate redundant features recursively on the reduced feature subsets.
Intrusion Detection using Spatial-Temporal features based on Riemannian Manifold
To address this, we propose a new novel feature extraction method based on covariance matrices that extract spatial-temporal characteristics of network traffic data for detecting malicious network traffic behavior.
Task-Aware Meta Learning-based Siamese Neural Network for Classifying Obfuscated Malware
Existing Siamese neural network (SNN)-based malware detection methods fail to correctly classify different malware families when such obfuscated malware samples are present in the training dataset, resulting in high false-positive rates.
