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Updated: Jul 10, 2025

Applications of EEG Neuroimaging Data: Event-related Potentials, Spectral Power, and Multiscale Entropy
Published on: June 27, 2013
Understanding the Feature Space and Decision Boundaries of Commercial WAFs Using Maximum Entropy in the Mean
Henryk Gzyl1, Enrique Ter Horst2, Nathalie Peña-Garcia3
1Centro de Finanzas IESA, Caracas 1010, Venezuela.
Abstract:
The security of a network requires the correct identification and characterization of the attacks through its ports. This involves the follow-up of all the requests for access to the networks by all kinds of users. We consider the frequency of connections and the type of connections to a network, and determine their joint probability. This leads to the problem of determining a joint probability distribution from the knowledge of its marginals in the presence of errors of measurement. Mathematically, this consists of an ill-posed linear problem with convex constraints, which we solved by the method of maximum entropy in the mean. This procedure is flexible enough to accommodate errors in the data in a natural way. Also, the procedure is model-free and, hence, it does not require fitting unknown parameters.
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