Ondrej Linda
MS Thesis Defense
APPLICATIONS OF COMPUTATIONAL INTELLIGENCE IN CRITICAL INFRASTRUCTURES:
NETWORK SECURITY, ROBOTICS, AND SYSTEM MODELING ENHANCEMENTS
Major Professor: Dr. Milos Manic
Abstract:
Critical infrastructures comprise essential components of industry,
energy generation, security, defense, transportation and public
services. Their protection and effective maintenance is one of today's
most relevant concerns. Due to the recent development in information
technology, modern critical infrastructures have become substantially
computerized and automated. This thesis discusses the use of
computational intelligence techniques for support and enhancements of
modern critical infrastructures. Computational intelligence techniques,
such as artificial neural network, fuzzy logic systems or unsupervised
clustering, are well established and widely used, and are capable of
machine learning, pattern recognition or non-linear intelligent control.
In this thesis, these techniques were utilized in three specific areas
of critical infrastructures: network security, robotics and system
modeling. Firstly, the artificial neural networks were applied to the
problem of network security and an anomaly-based intrusion detection
system was implemented. The development and testing of this system was
based on network data recorded from a control system of an existing
critical infrastructure. Further, the intrusion detection system was
enhanced by an improved training data generation technique. Secondly,
specific control architecture of multi-robot system for emergency
response was designed. This architecture combined a swarm behavior model
with fuzzy logic control into an effective single-operator control
system. Moreover, an algorithm for autonomous navigation of mobile
robots inspired by the support vector machines was developed. Finally,
this thesis describes enhanced system modeling using the growing neural
gas algorithm. This self-organizing neural network was used for problem
complexity reduction and for topology learning.