Multidimensional Network Monitoring for Intrusion Detection

TL;DR

This paper proposes a real-time, multidimensional network monitoring approach using complex systems theory and physics-inspired methods to detect both known and unknown intrusions in network traffic.

Contribution

It introduces a novel multidimensional analysis framework combining complex systems theory and physics to improve intrusion detection capabilities.

Findings

Effective detection of known intrusions demonstrated

Supports detection of unknown intrusions

Provides a foundation for automatic intrusion detection systems

Abstract

An approach for real-time network monitoring in terms of numerical time-dependant functions of protocol parameters is suggested. Applying complex systems theory for information f{l}ow analysis of networks, the information traffic is described as a trajectory in multi-dimensional parameter-time space with about 10-12 dimensions. The network traffic description is synthesized by applying methods of theoretical physics and complex systems theory, to provide a robust approach for network monitoring that detects known intrusions, and supports developing real systems for detection of unknown intrusions. The methods of data analysis and pattern recognition presented are the basis of a technology study for an automatic intrusion detection system that detects the attack in the reconnaissance stage.