Evolving meta-ensemble of classifiers for handling incomplete and unbalanced datasets in the cyber security domain
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gp-bibliography.bib Revision:1.8098
- @Article{Folino:2016:ASC,
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author = "G. Folino and F. S. Pisani",
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title = "Evolving meta-ensemble of classifiers for handling
incomplete and unbalanced datasets in the cyber
security domain",
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journal = "Applied Soft Computing",
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volume = "47",
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pages = "179--190",
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year = "2016",
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ISSN = "1568-4946",
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DOI = "doi:10.1016/j.asoc.2016.05.044",
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URL = "http://www.sciencedirect.com/science/article/pii/S156849461630254X",
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abstract = "Cyber security classification algorithms usually
operate with datasets presenting many missing features
and strongly unbalanced classes. In order to cope with
these issues, we designed a distributed genetic
programming (GP) framework, named CAGE-MetaCombiner,
which adopts a meta-ensemble model to operate
efficiently with missing data. Each ensemble evolves a
function for combining the classifiers, which does not
need of any extra phase of training on the original
data. Therefore, in the case of changes in the data,
the function can be recomputed in an incremental way,
with a moderate computational effort; this aspect
together with the advantages of running on
parallel/distributed architectures makes the algorithm
suitable to operate with the real time constraints
typical of a cyber security problem. In addition, an
important cyber security problem that concerns the
classification of the users or the employers of an
e-payment system is illustrated, in order to show the
relevance of the case in which entire sources of data
or groups of features are missing. Finally, the
capacity of approach in handling groups of missing
features and unbalanced datasets is validated on many
artificial datasets and on two real datasets and it is
compared with some similar approaches.",
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keywords = "genetic algorithms, genetic programming, Ensemble,
Data mining, Cyber security, Missing features",
- }
Genetic Programming entries for
Gianluigi Folino
Francesco Sergio Pisani
Citations