Estimation of distribution algorithm for optimization of neural networks for intrusion detection system

Authors:
Yuehui Chen;Yong Zhang;Ajith Abraham
Affiliations:
School of Information Science and Engineering, Jinan University, Jinan, P.R. China;School of Control Science and Engineering, Jinan University, Jinan, P.R. China;School of Information Science and Engineering, Jinan University, Jinan, P.R. China
Venue:
ICAISC'06 Proceedings of the 8th international conference on Artificial Intelligence and Soft Computing
Year:
2006

Citing 12
Cited 1

C4.5: programs for machine learning

C4.5: programs for machine learning
Secure computing: threats and safeguards

Secure computing: threats and safeguards
Estimation of Distribution Algorithms: A New Tool for Evolutionary Computation

Estimation of Distribution Algorithms: A New Tool for Evolutionary Computation
ADAM: a testbed for exploring the use of data mining in intrusion detection

ACM SIGMOD Record
Induction of Decision Trees

Machine Learning
Expanding from Discrete to Continuous Estimation of Distribution Algorithms: The IDEA

PPSN VI Proceedings of the 6th International Conference on Parallel Problem Solving from Nature
A Factorized Distribution Algorithm Using Single Connected Bayesian Networks

PPSN VI Proceedings of the 6th International Conference on Parallel Problem Solving from Nature
A Neural Network Component for an Intrusion Detection System

SP '92 Proceedings of the 1992 IEEE Symposium on Security and Privacy
Adaptive Neuro-Fuzzy Intrusion Detection Systems

ITCC '04 Proceedings of the International Conference on Information Technology: Coding and Computing (ITCC'04) Volume 2 - Volume 2
Intrusion detection using an ensemble of intelligent paradigms

Journal of Network and Computer Applications - Special issue on computational intelligence on the internet
Time-series forecasting using flexible neural tree model

Information Sciences: an International Journal
Feature selection and intrusion detection using hybrid flexible neural tree

ISNN'05 Proceedings of the Second international conference on Advances in Neural Networks - Volume Part III

Review: The use of computational intelligence in intrusion detection systems: A review

Applied Soft Computing

Quantified Score

Hi-index	0.00

Visualization

Abstract

An Intrusion Detection System (IDS) is a program that analyzes what happens or has happened during an execution and tries to find indications that the computer has been misused. An IDS does not eliminate the use of preventive mechanism but it works as the last defensive mechanism in securing the system. This paper evaluates the performances of Estimation of Distribution Algorithm (EDA) to train a feedforward neural network classifier for detecting intrusions in a network. Results are then compared with Particle Swarm Optimization (PSO) based neural classifier and Decision Trees (DT). Empirical results clearly show that evolutionary computing techniques could play an important role in designing real time intrusion detection systems.