Detection of unknown computer worms based on behavioral classification of the host

DOI10.1016/J.CSDA.2008.01.028zbMath1452.62102OpenAlexW1991001460WikidataQ56001150 ScholiaQ56001150MaRDI QIDQ1023802

Lior Rokach, Robert Moskovitch, Yuval Elovici

Publication date: 16 June 2009

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2008.01.028

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Learning and adaptive systems in artificial intelligence (68T05) Computer security (68M25)

Related Items (3)

Collective-agreement-based pruning of ensembles ⋮ Improving malware detection by applying multi-inducer ensemble ⋮ Taxonomy for characterizing ensemble methods in classification tasks: a review and annotated bibliography

Uses Software

• Neural Network Toolbox
• C4.5

Cites Work

• Fusion, propagation, and structuring in belief networks
• Comparison of feature selection and classification algorithms in identifying malicious executables
• On the optimality of the simple Bayesian classifier under zero-one loss
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