Application of kohonen maps to improve security tests on automation devices

Authors:
João Paulo S. Medeiros;Allison C. Cunha;Agostinho M. Brito;Paulo S. Motta Pires
Affiliations:
LabSIN - Security Information Laboratory, Department of Computer Engineering and Automation, Federal University of Rio Grande do Norte, Natal, RN, Brazil;LabSIN - Security Information Laboratory, Department of Computer Engineering and Automation, Federal University of Rio Grande do Norte, Natal, RN, Brazil;LabSIN - Security Information Laboratory, Department of Computer Engineering and Automation, Federal University of Rio Grande do Norte, Natal, RN, Brazil;LabSIN - Security Information Laboratory, Department of Computer Engineering and Automation, Federal University of Rio Grande do Norte, Natal, RN, Brazil
Venue:
CRITIS'07 Proceedings of the Second international conference on Critical Information Infrastructures Security
Year:
2007

Citing 3
Cited 3

Self-organization and associative memory: 3rd edition

Self-organization and associative memory: 3rd edition
Neural Networks: A Comprehensive Foundation

Neural Networks: A Comprehensive Foundation
Security Aspects of SCADA and Corporate Network Interconnection: An Overview

DEPCOS-RELCOMEX '06 Proceedings of the International Conference on Dependability of Computer Systems

A new method for recognizing operating systems of automation devices

ETFA'09 Proceedings of the 14th IEEE international conference on Emerging technologies & factory automation
A qualitative survey of active TCP/IP fingerprinting tools and techniques for operating systems identification

CISIS'11 Proceedings of the 4th international conference on Computational intelligence in security for information systems
An effective TCP/IP fingerprinting technique based on strange attractors classification

DPM'09/SETOP'09 Proceedings of the 4th international workshop, and Second international conference on Data Privacy Management and Autonomous Spontaneous Security

Quantified Score

Hi-index	0.00

Visualization

Abstract

We propose a new method to improve the effectiveness of security tests on industrial automation devices. Using a self-organizing neural network, we are able to build a Kohonen map that organizes operating systems according to similarities of their TCP/IP fingerprints. Our technique enables us to associate specific security tests to regions of the Kohonen map and to use this information to improve protection of automation devices.