Tag: AI in Security
All the articles with the tag "AI in Security".
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CB-cPIR: Code-Based Computational Private Information Retrieval
CB-cPIR introduces a code-based single-server computational private information retrieval scheme that enhances security against subquery attacks by using high-weight secret vectors and dual queries, achieving lower communication and computational costs compared to lattice-based schemes like XPIR and SimplePIR.
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Cyber Security Data Science: Machine Learning Methods and their Performance on Imbalanced Datasets
This paper systematically evaluates machine learning classifiers and imbalance learning techniques on two cybersecurity datasets, revealing that XGB and RF perform robustly, while sampling and ensembling effects vary, emphasizing the need for dataset-specific method selection.