O'Reilly logo

R: Data Analysis and Visualization by Ágnes Vidovics-Dancs, Kata Váradi, Tamás Vadász, Ágnes Tuza, Balázs Árpád Szucs, Julia Molnár, Péter Medvegyev, Balázs Márkus, István Margitai, Péter Juhász, Dániel Havran, Gergely Gabler, Barbara Dömötör, Gergely Daróczi, Ádám Banai, Milán Badics, Ferenc Illés, Edina Berlinger, Bater Makhabel, Hrishi V. Mittal, Jaynal Abedin, Brett Lantz, Tony Fischetti

Stay ahead with the world's most comprehensive technology and business learning platform.

With Safari, you learn the way you learn best. Get unlimited access to videos, live online training, learning paths, books, tutorials, and more.

Start Free Trial

No credit card required

Trojan traffic identification method and Bayes classification

Among probabilistic classification algorithms is the Bayes classification, which is based on Bayes' theorem. It predicts the instance or the class as the one that makes the posterior probability maximal. The risk for Bayes classification is that it needs enough data to estimate the joint probability density more reliably.

Given a dataset D with a size n, each instance or point x belonging to D with a dimension of m, for each Trojan traffic identification method and Bayes classification. To predict the class Trojan traffic identification method and Bayes classification of any x, we use the following formula: ...

With Safari, you learn the way you learn best. Get unlimited access to videos, live online training, learning paths, books, interactive tutorials, and more.

Start Free Trial

No credit card required