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DOI: 10.14569/IJACSA.2012.030508
PDF

A Discriminant Model of Network Anomaly Behavior Based on Fuzzy Temporal Inference

Author 1: Ping He

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 3 Issue 5, 2012.

  • Abstract and Keywords
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Abstract: The aim of this paper is to provide an active inference algorithm for anomalous behavior. As a main concept we introduce fuzzy temporal consistency covering set, and put forward a fuzzy temporal selection model based on temporal inference and covering technology. Fuzzy set is used to describe network anomaly behavior omen and character, as well as the relations between behavior omen and character. We set up a basic monitoring framework of anomalous behaviors by using causality inference of network behaviors, and then provide a recognition method of network anomaly behavior character based on hypothesis graph search. As shown in the example, the monitoring algorithm has certain reliability and operability.

Keywords: network anomaly behavior; anomalous omen; fuzzy temporal; set covering; hypothesis graph .

Ping He, “A Discriminant Model of Network Anomaly Behavior Based on Fuzzy Temporal Inference” International Journal of Advanced Computer Science and Applications(IJACSA), 3(5), 2012. http://dx.doi.org/10.14569/IJACSA.2012.030508

@article{He2012,
title = {A Discriminant Model of Network Anomaly Behavior Based on Fuzzy Temporal Inference},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2012.030508},
url = {http://dx.doi.org/10.14569/IJACSA.2012.030508},
year = {2012},
publisher = {The Science and Information Organization},
volume = {3},
number = {5},
author = {Ping He}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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