Hierarchical Takagi-Sugeno Models for Online Security Evaluation Systems
Created by W.Langdon from
gp-bibliography.bib Revision:1.7954
- @InProceedings{Abraham:2009:IAS,
-
author = "Ajith Abraham and Crina Grosan and Hongbo Liu and
Yuehui Chen",
-
title = "Hierarchical {Takagi-Sugeno} Models for Online
Security Evaluation Systems",
-
booktitle = "Fifth International Conference on Information
Assurance and Security, IAS '09",
-
year = "2009",
-
month = aug,
-
volume = "1",
-
pages = "687--692",
-
keywords = "genetic algorithms, genetic programming, hierarchical
Takagi-Sugeno models, human perception, human
reasoning, intrusion detection, neuro-fuzzy
programming, online security evaluation systems, risk
assessment, fuzzy reasoning, hierarchical systems,
human factors, interactive programming, risk
management, security of data",
-
DOI = "doi:10.1109/IAS.2009.348",
-
abstract = "Risk assessment is often done by human experts,
because there is no exact and mathematical solution to
the problem. Usually the human reasoning and perception
process cannot be expressed precisely. This paper
propose a light weight risk assessment system based on
an Hierarchical Takagi-Sugeno model designed using
evolutionary algorithms. Performance comparison is done
with neuro-fuzzy and genetic programming methods.
Empirical results indicate that the techniques are
robust and suitable for developing light weight risk
assessment models, which could be integrated with
intrusion detection and prevention systems.",
-
notes = "Also known as \cite{5283215}",
- }
Genetic Programming entries for
Ajith Abraham
Crina Grosan
Hongbo Liu
Yuehui Chen
Citations