AINeutralarXiv – CS AI · 9h ago5/10
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Dimensionality Reduction for Cyberattack Classification: A Comparative Evaluation of PCA and Linear Predictive Coding
Researchers compare Principal Component Analysis (PCA) and Linear Predictive Coding (LPC) for reducing feature dimensionality in cyberattack detection systems. The study demonstrates that aggressive compression of high-dimensional data maintains classification accuracy while significantly reducing computational overhead, enabling deployment in resource-constrained environments.