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Found 6 papers, 2 papers with code
A Modular and Adaptive System for Business Email Compromise Detection
The growing sophistication of Business Email Compromise (BEC) and spear phishing attacks poses significant challenges to organizations worldwide.
Benchmark of Data Preprocessing Methods for Imbalanced Classification
These methods modify the training dataset by oversampling, undersampling or a combination of both to improve the predictive performance of classifiers trained on this dataset.
A framework for comprehensible multi-modal detection of cyber threats
In this work, we discuss these limitations and design a detection framework which combines observed events from different sources of data.
Decision-forest voting scheme for classification of rare classes in network intrusion detection
The algorithm leverages out-of-bag datasets to estimate prediction errors of individual trees, which are then used in accordance with the Bayes rule to refine the decision of the ensemble.
On Model Evaluation under Non-constant Class Imbalance
Many real-world classification problems are significantly class-imbalanced to detriment of the class of interest.
Bad practices in evaluation methodology relevant to class-imbalanced problems
For research to go in the right direction, it is essential to be able to compare and quantify performance of different algorithms focused on the same problem.
