Are two sets of data genuinely different, or is it because of randomness? This question, known as the two-sample testing problem, becomes notoriously difficult in modern datasets, because they are ...
Abstract: In this paper, we evaluate the applicability of genetic programming (GP) for the evolution of distributed algorithms. We carry out a large-scale experimental study in which we tackle three ...
Exploring Machine Learning Algorithms for Malicious Node Detection Using Cluster-Based Trust Entropy
Abstract: Machine learning has, over the decades, ushered in a dramatic transformation across a range of sectors, including network security. Security experts agree that the potential of machine ...
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