Title :
Extracting of temporal patterns from data for hierarchical classifiers construction
Author :
Szpyrka, Marcin ; Szczur, Adam ; Bazan, Jan G. ; Dydo, Lukasz
Author_Institution :
Dept. of Appl. Comput. Sci., AGH Univ. of Sci. & Technol., Kraków, Poland
Abstract :
A method of automatic extracting of temporal patterns from learning data for constructing hierarchical behavioral patterns based classifiers is considered in the paper. The presented approach can be used to complete the knowledge provided by experts or to discover the knowledge automatically if no expert knowledge is accessible. Formal description of temporal patterns is provided and an algorithm for automatic patterns extraction and evaluation is described. A system for packet-based network traffic anomaly detection is used to illustrate the considered ideas.
Keywords :
computer network security; data mining; learning (artificial intelligence); pattern classification; temporal logic; automatic pattern extraction; data temporal pattern extraction; hierarchical behavioral pattern; hierarchical classifier construction; knowledge discovery; learning data; packet-based network traffic anomaly detection; Clustering algorithms; Data mining; Decision trees; Entropy; Petri nets; Ports (Computers); Servers; LTL logic; feature extraction; hierarchical classifiers; network anomaly detection; temporal patterns;
Conference_Titel :
Cybernetics (CYBCONF), 2015 IEEE 2nd International Conference on
Conference_Location :
Gdynia
Print_ISBN :
978-1-4799-8320-9
DOI :
10.1109/CYBConf.2015.7175955
